What's Changed

docs: Simplify and improve context7 config by @fcakyon in https://github.com/obss/sahi/pull/1218
build: Eliminate unnecessary CI workflow triggers by @fcakyon in https://github.com/obss/sahi/pull/1219
fix: Fix incorrect context7 config structure by @fcakyon in https://github.com/obss/sahi/pull/1220
refactor: 🧹 improve test and utility code organization by @onuralpszr in https://github.com/obss/sahi/pull/1223
👷 Bump actions/checkout from 4 to 5 by @dependabot[bot] in https://github.com/obss/sahi/pull/1229
fix: 🐛 Update version to 0.11.33 to fix sahi installation in dev by @onuralpszr in https://github.com/obss/sahi/pull/1233

Full Changelog: https://github.com/obss/sahi/compare/0.11.32...0.11.33

- Python
Published by fcakyon 6 months ago

What's Changed

docs: 📝 Introduce mkdocs-material to sahi project to have documentation page by @onuralpszr in https://github.com/obss/sahi/pull/1210
👷 Bump astral-sh/setup-uv from 5 to 6 by @dependabot[bot] in https://github.com/obss/sahi/pull/1211
fix: 🐞 update deployment branch from 'develop' to 'main' in publish_docs workflow by @onuralpszr in https://github.com/obss/sahi/pull/1212
docs: 📝 Introduce mkdocs-material to sahi project to have documentation page by @onuralpszr in https://github.com/obss/sahi/pull/1213
Add DeepWiki documentation badge in README.md by @RizwanMunawar in https://github.com/obss/sahi/pull/1215
refactor: 🛠 remove redundant logging imports and centralize logger configuration by @onuralpszr in https://github.com/obss/sahi/pull/1214
update version to 0.11.32 by @fcakyon in https://github.com/obss/sahi/pull/1216

New Contributors

@onuralpszr made their first contribution in https://github.com/obss/sahi/pull/1210
@dependabot[bot] made their first contribution in https://github.com/obss/sahi/pull/1211
@RizwanMunawar made their first contribution in https://github.com/obss/sahi/pull/1215

Full Changelog: https://github.com/obss/sahi/compare/0.11.31...0.11.32

- Python
Published by fcakyon 7 months ago

What's Changed

Make Category immutable and add tests by @gboeer in https://github.com/obss/sahi/pull/1206
Update docstring for greedy_nmm by @kikefdezl in https://github.com/obss/sahi/pull/1205
update version by @fcakyon in https://github.com/obss/sahi/pull/1208

New Contributors

@kikefdezl made their first contribution in https://github.com/obss/sahi/pull/1205

Full Changelog: https://github.com/obss/sahi/compare/0.11.30...0.11.31

- Python
Published by fcakyon 7 months ago

sahi - 0.11.30

# SAHI v0.11.30 Release Notes

We're excited to announce SAHI v0.11.30 with improved performance tracking, enhanced testing infrastructure, and better developer experience!

## 📈 Milestones - Academic papers citing SAHI reached 400! (#1168)

## 🚀 Key Updates

### Performance & Monitoring - Fixed postprocess duration tracking in get_sliced_prediction - now properly separates slice, prediction, and postprocess timings for accurate performance monitoring (#1201) - Thanks @Toprak2!

### Framework Updates - Refactored Ultralytics support with ONNX model support and better compatibility (#1184) - Updated TorchVision support to latest API (#1182) - Improved Detectron2 support with better config handling to prevent KeyError issues (#1116) - Thanks @Arnesh1411! - Added Roboflow framework support for RF-DETR models from the Roboflow Universe (#1161) - Thanks @nok! - Removed deepsparse integration as the framework is no longer maintained (#1164)

### Testing Infrastructure - Migrated test suite to pytest (#1187) - Tests now run faster with better parallel execution - Extended Python version coverage (3.8, 3.9, 3.10, 3.11, 3.12) - Updated to more recent PyTorch versions for better compatibility testing - Improved test organization and maintainability - Refactored MMDetection tests for better reliability (#1185)

### Developer Experience - Added Context7 MCP integration for AI-assisted development (#1198) - SAHI's documentation is now indexed in Context7 MCP - Provides AI coding assistants with up-to-date, version-specific code examples - Includes llms.txt file for AI-readable documentation - Check out the Context7 MCP installation guide to integrate SAHI docs with your AI workflow

## 🛠️ Improvements

### Code Quality & Safety - Immutable bounding boxes for thread-safe operations (#1194, #1191) - Thanks @gboeer! - Enhanced type hints and docstrings throughout the codebase (#1195) - Thanks @gboeer! - Overloaded operators for prediction scores enabling intuitive score comparisons (#1190) - Thanks @gboeer! - PyTorch is now a soft dependency improving flexibility (#1162) - Thanks @ducviet00!

### Infrastructure & Stability - Improved dependency management and documentation (#1183) - Enhanced pyproject.toml configuration for better package management (#1181) - Optimized CI/CD workflows for MMDetection tests (#1186)

## 🐛 Bug Fixes - Fixed CUDA device selection to support devices other than cuda:0 (#1158) - Thanks @0xf21! - Corrected parameter naming from 'confidence' to 'threshold' for consistency (#1180) - Thanks @nok! - Fixed regex string formatting in device selection function (#1165) - Resolved torch import errors when PyTorch is not installed (#1172) - Thanks @ducviet00! - Fixed model instantiation issues with AutoDetectionModel.from_pretrained (#1158)

## 📦 Dependencies - Updated OpenCV packages from 4.10.0.84 to 4.11.0.86 (#1171) - Thanks @ducviet00-h2! - Removed unmaintained matplotlib-stubs dependency (#1169) - Cleaned up unused configuration files (#1199)

## 📚 Documentation - Added context7.json for better AI tool integration (#1200) - Updated README with new contributors (#1175, #1179) - Added Roboflow+SAHI Colab tutorial link (#1177)

## Acknowledgments

Special thanks to all contributors who made this release possible: @nok, @gboeer, @Toprak2, @Arnesh1411, @0xf21, @ducviet00, @ducviet00-h2, @p-constant, and @fcakyon!

Full Changelog: https://github.com/obss/sahi/compare/0.11.24...0.11.30

- Python
Published by fcakyon 8 months ago

sahi - 0.11.29

What's Changed

Make bounding box immutable by @gboeer in https://github.com/obss/sahi/pull/1194
Improve type hints and docstrings by @gboeer in https://github.com/obss/sahi/pull/1195
update version by @fcakyon in https://github.com/obss/sahi/pull/1196

Full Changelog: https://github.com/obss/sahi/compare/0.11.28...0.11.29

- Python
Published by fcakyon 8 months ago

sahi - 0.11.28

What's Changed

Add overloaded operators for prediction score by @gboeer in https://github.com/obss/sahi/pull/1190
Improve detectron2 support by @Arnesh1411 in https://github.com/obss/sahi/pull/1116
Use immutable arguments for bounding boxes by @gboeer in https://github.com/obss/sahi/pull/1191
update version by @fcakyon in https://github.com/obss/sahi/pull/1192

New Contributors

@Arnesh1411 made their first contribution in https://github.com/obss/sahi/pull/1116

Full Changelog: https://github.com/obss/sahi/compare/0.11.27...0.11.28

- Python
Published by fcakyon 8 months ago

sahi - 0.11.27

What's Changed

fix: Update inference method to use 'threshold' instead of 'confidence' by @nok in https://github.com/obss/sahi/pull/1180
Update README.md by @nok in https://github.com/obss/sahi/pull/1179
improve pyproject.toml by @fcakyon in https://github.com/obss/sahi/pull/1181
Refactor dependency management and some docs by @fcakyon in https://github.com/obss/sahi/pull/1183
update: refactor ultralytics support by @fcakyon in https://github.com/obss/sahi/pull/1184
Refactor mmdet tests by @fcakyon in https://github.com/obss/sahi/pull/1185
update torchvision support to latest api by @fcakyon in https://github.com/obss/sahi/pull/1182
optimize mmdet workflow trigger condition by @fcakyon in https://github.com/obss/sahi/pull/1186
Migrate tests to pytest by @fcakyon in https://github.com/obss/sahi/pull/1187
update version by @fcakyon in https://github.com/obss/sahi/pull/1188

Full Changelog: https://github.com/obss/sahi/compare/0.11.26...0.11.27

- Python
Published by fcakyon 8 months ago

sahi - 0.11.26

What's Changed

Bump opencv packages from 4.10.0.84 to 4.11.0.86 by @ducviet00-h2 in https://github.com/obss/sahi/pull/1171
Add new framework Roboflow (RFDETR models) by @nok in https://github.com/obss/sahi/pull/1161
add new contributors to readme by @fcakyon in https://github.com/obss/sahi/pull/1175
add roboflow+sahi colab url to readme by @fcakyon in https://github.com/obss/sahi/pull/1177
update version by @fcakyon in https://github.com/obss/sahi/pull/1176

New Contributors

@ducviet00-h2 made their first contribution in https://github.com/obss/sahi/pull/1171
@nok made their first contribution in https://github.com/obss/sahi/pull/1161

Full Changelog: https://github.com/obss/sahi/compare/0.11.25...0.11.26

- Python
Published by fcakyon 8 months ago

sahi - 0.11.25

What's Changed

update sahi citation in readme by @fcakyon in https://github.com/obss/sahi/pull/1168
remove matplotlib-stubs as its not maintained by @fcakyon in https://github.com/obss/sahi/pull/1169
Fix torch import errors by @ducviet00 in https://github.com/obss/sahi/pull/1172
update version by @fcakyon in https://github.com/obss/sahi/pull/1173

Full Changelog: https://github.com/obss/sahi/compare/0.11.24...0.11.25

- Python
Published by fcakyon 8 months ago

sahi - 0.11.24

What's Changed

Fix typo and scripts URL by @gboeer in https://github.com/obss/sahi/pull/1155
fix ci workflow bug by @Dronakurl in https://github.com/obss/sahi/pull/1156
[DOC] Fix typos by @gboeer in https://github.com/obss/sahi/pull/1157
Remove deepsparse integration by @fcakyon in https://github.com/obss/sahi/pull/1164
Fix: Make pytorch is not a hard dependency by @ducviet00 in https://github.com/obss/sahi/pull/1162
fix: specify a device other than cuda:0 by @0xf21 in https://github.com/obss/sahi/pull/1158
fix: correct regex string formatting in select_device function by @fcakyon in https://github.com/obss/sahi/pull/1165
add TensorrtExecutionProvider to yolov8onnx by @p-constant in https://github.com/obss/sahi/pull/1091
update version by @fcakyon in https://github.com/obss/sahi/pull/1166

New Contributors

@gboeer made their first contribution in https://github.com/obss/sahi/pull/1155
@ducviet00 made their first contribution in https://github.com/obss/sahi/pull/1162
@0xf21 made their first contribution in https://github.com/obss/sahi/pull/1158
@p-constant made their first contribution in https://github.com/obss/sahi/pull/1091

Full Changelog: https://github.com/obss/sahi/compare/0.11.23...0.11.24

- Python
Published by fcakyon 8 months ago

sahi - 0.11.23

What's Changed

fix(CI): numpy dependency fixes #1119 by @Dronakurl in https://github.com/obss/sahi/pull/1144
Fix: Predict cannot find TIF files in source directory by @dibunker in https://github.com/obss/sahi/pull/1142
Fixed typos in demo Notebooks by @picjul in https://github.com/obss/sahi/pull/1150
fix: Fix Polygon Repair and Empty Polygon Issues, see #1118 by @mario-dg in https://github.com/obss/sahi/pull/1138
improve package ci logging by @fcakyon in https://github.com/obss/sahi/pull/1151

New Contributors

@dibunker made their first contribution in https://github.com/obss/sahi/pull/1142
@picjul made their first contribution in https://github.com/obss/sahi/pull/1150
@mario-dg made their first contribution in https://github.com/obss/sahi/pull/1138

Full Changelog: https://github.com/obss/sahi/compare/0.11.22...0.11.23

- Python
Published by fcakyon 10 months ago

sahi - 0.11.22

What's Changed

Improve suppot for latest mmdet (v3.3.0) by @fcakyon in https://github.com/obss/sahi/pull/1129
Improve support for latest yolov5-pip and ultralytics versions by @fcakyon in https://github.com/obss/sahi/pull/1130
support latest huggingface/transformers models by @fcakyon in https://github.com/obss/sahi/pull/1131
refctor coco to yolo conversion, update docs by @fcakyon in https://github.com/obss/sahi/pull/1132
bump version by @fcakyon in https://github.com/obss/sahi/pull/1134

Full Changelog: https://github.com/obss/sahi/compare/0.11.21...0.11.22

Core Documentation Files

Prediction Utilities

Detailed guide for performing object detection inference
Standard and sliced inference examples
Batch prediction usage
Class exclusion during inference
Visualization parameters and export formats
Interactive examples with various model integrations (YOLOv8, MMDetection, etc.)

Slicing Utilities

Guide for slicing large images and datasets
Image slicing examples
COCO dataset slicing examples
Interactive demo notebook reference

COCO Utilities

Comprehensive guide for working with COCO format datasets
Dataset creation and manipulation
Slicing COCO datasets
Dataset splitting (train/val)
Category filtering and updates
Area-based filtering
Dataset merging
Format conversion (COCO ↔ YOLO)
Dataset sampling utilities
Statistics calculation
Result validation

CLI Commands

Complete reference for SAHI command-line interface
Prediction commands
FiftyOne integration
COCO dataset operations
Environment information
Version checking
Custom script usage

FiftyOne Integration

Guide for visualizing and analyzing predictions with FiftyOne
Dataset visualization
Result exploration
Interactive analysis

Interactive Examples

All documentation files are complemented by interactive Jupyter notebooks in the demo directory: - slicing.ipynb - Slicing operations demonstration - inference_for_ultralytics.ipynb - YOLOv8/YOLO11/YOLO12 integration - inference_for_yolov5.ipynb - YOLOv5 integration - inference_for_mmdetection.ipynb - MMDetection integration - inference_for_huggingface.ipynb - HuggingFace models integration - inference_for_torchvision.ipynb - TorchVision models integration - inference_for_rtdetr.ipynb - RT-DETR integration - inference_for_sparse_yolov5.ipynb - DeepSparse optimized inference

Getting Started

If you're new to SAHI:

Start with the prediction utilities to understand basic inference
Explore the slicing utilities to learn about processing large images
Check out the CLI commands for command-line usage
Dive into COCO utilities for dataset operations
Try the interactive notebooks in the demo directory for hands-on experience

- Python
Published by fcakyon 12 months ago

sahi - 0.11.21

What's Changed

Exclude classes from inference using pretrained or custom models by @gguzzy in https://github.com/obss/sahi/pull/1104
pyproject.toml, pre-commit, ruff, uv and typing issues, fixes #1119 by @Dronakurl in https://github.com/obss/sahi/pull/1120
add class exclusion example into predict docs by @gguzzy in https://github.com/obss/sahi/pull/1125
Add OBB demo by @fcakyon in https://github.com/obss/sahi/pull/1126
fix a type hint typo in predict func by @fcakyon in https://github.com/obss/sahi/pull/1111
Remove numpy<2 upper pin by @weiji14 in https://github.com/obss/sahi/pull/1112
fix ci badge on readme by @fcakyon in https://github.com/obss/sahi/pull/1124
fix version in pyproject.toml by @fcakyon in https://github.com/obss/sahi/pull/1127

New Contributors

@Dronakurl made their first contribution in https://github.com/obss/sahi/pull/1120
@gguzzy made their first contribution in https://github.com/obss/sahi/pull/1104

Full Changelog: https://github.com/obss/sahi/compare/0.11.20...0.11.21

- Python
Published by fcakyon 12 months ago

sahi - 0.11.20

What's Changed

add yolo11 and ultralytics obb task support by @fcakyon in https://github.com/obss/sahi/pull/1109
support latest opencv version by @fcakyon in https://github.com/obss/sahi/pull/1106
simplify yolo detection model code by @fcakyon in https://github.com/obss/sahi/pull/1107
Pin shapely>2.0.0 by @weiji14 in https://github.com/obss/sahi/pull/1101

Full Changelog: https://github.com/obss/sahi/compare/0.11.19...0.11.20

- Python
Published by fcakyon about 1 year ago

sahi - 0.11.19

What's Changed

fix ci actions by @fcakyon in https://github.com/obss/sahi/pull/1073
Update has_mask method for mmdet models (handle an edge case) by @ccomkhj in https://github.com/obss/sahi/pull/1066
Another self-intersection corner case handling by @sergiev in https://github.com/obss/sahi/pull/982
Update README.md by @fcakyon in https://github.com/obss/sahi/pull/1077
drop non-working yolonas support by @fcakyon in https://github.com/obss/sahi/pull/1097
drop yolonas support part2 by @fcakyon in https://github.com/obss/sahi/pull/1098
Update has_mask method for mmdet models (handle ConcatDataset) by @ccomkhj in https://github.com/obss/sahi/pull/1092

New Contributors

@ccomkhj made their first contribution in https://github.com/obss/sahi/pull/1066

Full Changelog: https://github.com/obss/sahi/compare/0.11.18...0.11.19

- Python
Published by fcakyon over 1 year ago

sahi - 0.11.19

What's Changed

fix ci actions by @fcakyon in https://github.com/obss/sahi/pull/1073
Update has_mask method for mmdet models (handle an edge case) by @ccomkhj in https://github.com/obss/sahi/pull/1066
Another self-intersection corner case handling by @sergiev in https://github.com/obss/sahi/pull/982
Update README.md by @fcakyon in https://github.com/obss/sahi/pull/1077

New Contributors

@ccomkhj made their first contribution in https://github.com/obss/sahi/pull/1066

Full Changelog: https://github.com/obss/sahi/compare/0.11.18...0.11.19

- Python
Published by fcakyon over 1 year ago

sahi - 0.11.18

What's Changed

add yolov8 mask support, improve mask processing speed by 4-5x by @mayrajeo in https://github.com/obss/sahi/pull/1039
fix has_mask method for mmdet models by @Alias-z in https://github.com/obss/sahi/pull/1054
Fix TypeError: 'GeometryCollection' object is not subscriptable when slicing COCO by @Alias-z in https://github.com/obss/sahi/pull/1047
support opencv-python version 4.9 by @iokarkan in https://github.com/obss/sahi/pull/1041
add upperlimit to numpy dep by @fcakyon in https://github.com/obss/sahi/pull/1057
add more unit tests by @MMerling in https://github.com/obss/sahi/pull/1048
upgrade ci actions by @fcakyon in https://github.com/obss/sahi/pull/1049

New Contributors

@iokarkan made their first contribution in https://github.com/obss/sahi/pull/1041
@MMerling made their first contribution in https://github.com/obss/sahi/pull/1048
@Alias-z made their first contribution in https://github.com/obss/sahi/pull/1047

Full Changelog: https://github.com/obss/sahi/compare/0.11.16...0.11.18

- Python
Published by fcakyon over 1 year ago

sahi - v0.11.16

What's Changed

Update README.md by @fcakyon in https://github.com/obss/sahi/pull/966
Updated the constant variables for Yolov8 by @AmoghDhaliwal in https://github.com/obss/sahi/pull/917
Slicing: add unique slice index number to output file name by @jokober in https://github.com/obss/sahi/pull/943
update version by @fcakyon in https://github.com/obss/sahi/pull/967
Correcting type hints for get_slice_bboxes(). by @S-aiueo32 in https://github.com/obss/sahi/pull/930
Correcting slice_image() by @S-aiueo32 in https://github.com/obss/sahi/pull/931
Customize YOLOv8 image_size & device + Allow Saving Slices by @lakshaymehra in https://github.com/obss/sahi/pull/929
fix package testing workflow paths by @fcakyon in https://github.com/obss/sahi/pull/968
remove detectron2 from package tests by @fcakyon in https://github.com/obss/sahi/pull/979
ONNX runtime support by @karl-joan in https://github.com/obss/sahi/pull/922
Fix RLE when segmentation is None by @bobyard-com in https://github.com/obss/sahi/pull/996
update functions docstrings and type hinting by @fcakyon in https://github.com/obss/sahi/pull/1016
fix postprocess type options description by @williamlung in https://github.com/obss/sahi/pull/1013
revert back package version by @fcakyon in https://github.com/obss/sahi/pull/1017
Improve printout readability by @jacobmarks in https://github.com/obss/sahi/pull/1009
improve readme by @fcakyon in https://github.com/obss/sahi/pull/1018
remove an unused list in postprocess by @developer0hye in https://github.com/obss/sahi/pull/1002
add more contributors to readme by @fcakyon in https://github.com/obss/sahi/pull/1019
add more contributors to readme by @fcakyon in https://github.com/obss/sahi/pull/1020
Adds link to new FiftyOne tutorial by @jacobmarks in https://github.com/obss/sahi/pull/1023
RTDETR implementation by @edugzlez in https://github.com/obss/sahi/pull/940
Improve yolov8 config by @GuillaumeBruand in https://github.com/obss/sahi/pull/988
update readme by @fcakyon in https://github.com/obss/sahi/pull/1034
relax opencv version by @fcakyon in https://github.com/obss/sahi/pull/1035
disable slice export by default by @fcakyon in https://github.com/obss/sahi/pull/1036
remove quality param in slice export due to errors by @fcakyon in https://github.com/obss/sahi/pull/1037
fix for using bgr image in inference instead of rgb by @bilkosem in https://github.com/obss/sahi/pull/1022

New Contributors

@AmoghDhaliwal made their first contribution in https://github.com/obss/sahi/pull/917
@S-aiueo32 made their first contribution in https://github.com/obss/sahi/pull/930
@lakshaymehra made their first contribution in https://github.com/obss/sahi/pull/929
@karl-joan made their first contribution in https://github.com/obss/sahi/pull/922
@bobyard-com made their first contribution in https://github.com/obss/sahi/pull/996
@williamlung made their first contribution in https://github.com/obss/sahi/pull/1013
@jacobmarks made their first contribution in https://github.com/obss/sahi/pull/1009
@developer0hye made their first contribution in https://github.com/obss/sahi/pull/1002
@edugzlez made their first contribution in https://github.com/obss/sahi/pull/940
@GuillaumeBruand made their first contribution in https://github.com/obss/sahi/pull/988
@bilkosem made their first contribution in https://github.com/obss/sahi/pull/1022

Full Changelog: https://github.com/obss/sahi/compare/0.11.15...0.11.16

- Python
Published by devrimcavusoglu almost 2 years ago

sahi - v0.11.16

What's Changed

Update README.md by @fcakyon in https://github.com/obss/sahi/pull/966
Updated the constant variables for Yolov8 by @AmoghDhaliwal in https://github.com/obss/sahi/pull/917
Slicing: add unique slice index number to output file name by @jokober in https://github.com/obss/sahi/pull/943
update version by @fcakyon in https://github.com/obss/sahi/pull/967
Correcting type hints for get_slice_bboxes(). by @S-aiueo32 in https://github.com/obss/sahi/pull/930
Correcting slice_image() by @S-aiueo32 in https://github.com/obss/sahi/pull/931
Customize YOLOv8 image_size & device + Allow Saving Slices by @lakshaymehra in https://github.com/obss/sahi/pull/929
fix package testing workflow paths by @fcakyon in https://github.com/obss/sahi/pull/968
remove detectron2 from package tests by @fcakyon in https://github.com/obss/sahi/pull/979
ONNX runtime support by @karl-joan in https://github.com/obss/sahi/pull/922
Fix RLE when segmentation is None by @bobyard-com in https://github.com/obss/sahi/pull/996
update functions docstrings and type hinting by @fcakyon in https://github.com/obss/sahi/pull/1016
fix postprocess type options description by @williamlung in https://github.com/obss/sahi/pull/1013
revert back package version by @fcakyon in https://github.com/obss/sahi/pull/1017
Improve printout readability by @jacobmarks in https://github.com/obss/sahi/pull/1009
improve readme by @fcakyon in https://github.com/obss/sahi/pull/1018
remove an unused list in postprocess by @developer0hye in https://github.com/obss/sahi/pull/1002
add more contributors to readme by @fcakyon in https://github.com/obss/sahi/pull/1019
add more contributors to readme by @fcakyon in https://github.com/obss/sahi/pull/1020

New Contributors

@AmoghDhaliwal made their first contribution in https://github.com/obss/sahi/pull/917
@S-aiueo32 made their first contribution in https://github.com/obss/sahi/pull/930
@lakshaymehra made their first contribution in https://github.com/obss/sahi/pull/929
@karl-joan made their first contribution in https://github.com/obss/sahi/pull/922
@bobyard-com made their first contribution in https://github.com/obss/sahi/pull/996
@williamlung made their first contribution in https://github.com/obss/sahi/pull/1013
@jacobmarks made their first contribution in https://github.com/obss/sahi/pull/1009
@developer0hye made their first contribution in https://github.com/obss/sahi/pull/1002

Full Changelog: https://github.com/obss/sahi/compare/0.11.15...0.11.16

- Python
Published by fcakyon almost 2 years ago

sahi - v0.11.15

What's Changed

add more yolov8 download utils by @pranavdurai10 in https://github.com/obss/sahi/pull/887
add learnopencv research article url into readme by @pranavdurai10 in https://github.com/obss/sahi/pull/892
update supergradients version in tests by @fcakyon in https://github.com/obss/sahi/pull/894
added yolov8x download utils + update README.md by @pranavdurai10 in https://github.com/obss/sahi/pull/898
Replace mmdet v2 for v3 by @i-aki-y in https://github.com/obss/sahi/pull/893
Update README.md by @pranavdurai10 in https://github.com/obss/sahi/pull/925
fix continious integration workflows by @fcakyon in https://github.com/obss/sahi/pull/963
Self-intersection handling by @sergiev in https://github.com/obss/sahi/pull/961
Slicing: Quality focused default image format selection and jpg quality by @jokober in https://github.com/obss/sahi/pull/956
update version by @fcakyon in https://github.com/obss/sahi/pull/964

New Contributors

@pranavdurai10 made their first contribution in https://github.com/obss/sahi/pull/887
@i-aki-y made their first contribution in https://github.com/obss/sahi/pull/893
@sergiev made their first contribution in https://github.com/obss/sahi/pull/961
@jokober made their first contribution in https://github.com/obss/sahi/pull/956

Full Changelog: https://github.com/obss/sahi/compare/0.11.14...0.11.15

- Python
Published by fcakyon over 2 years ago

sahi - 0.11.14

What's Changed

support Deci-AI YOLO-NAS models by @ssahinnkadir in https://github.com/obss/sahi/pull/874
Significant speed improvement for Detectron2 models by @MyosQ in https://github.com/obss/sahi/pull/865
support ultralytics>=8.0.99 by @eVen-gits in https://github.com/obss/sahi/pull/873
Documentation typo, and missing value by @Hamzalopode in https://github.com/obss/sahi/pull/859
update version by @fcakyon in https://github.com/obss/sahi/pull/876
update black version by @fcakyon in https://github.com/obss/sahi/pull/877

New Contributors

@Hamzalopode made their first contribution in https://github.com/obss/sahi/pull/859
@eVen-gits made their first contribution in https://github.com/obss/sahi/pull/873
@MyosQ made their first contribution in https://github.com/obss/sahi/pull/865

Full Changelog: https://github.com/obss/sahi/compare/0.11.13...0.11.14

- Python
Published by fcakyon almost 3 years ago

sahi - v0.11.13

What's Changed

Add hide labels/confidence by @aphilas in https://github.com/obss/sahi/pull/844
Add support for sparse YOLOv5 models by @mwitiderrick in https://github.com/obss/sahi/pull/848
Add support for DeepSparse dynamic image pipelines by @mwitiderrick in https://github.com/obss/sahi/pull/850
fix package testing by @fcakyon in https://github.com/obss/sahi/pull/853

New Contributors

@aphilas made their first contribution in https://github.com/obss/sahi/pull/844
@mwitiderrick made their first contribution in https://github.com/obss/sahi/pull/848

Full Changelog: https://github.com/obss/sahi/compare/0.11.12...0.11.13

- Python
Published by fcakyon almost 3 years ago

sahi - v0.11.12

What's Changed

update readme by @fcakyon in https://github.com/obss/sahi/pull/825
update yolov5 in tests by @fcakyon in https://github.com/obss/sahi/pull/826
fix coco2yolov5 cli by @fcakyon in https://github.com/obss/sahi/pull/828
fromcocodictorpath, added threading for processing coco_dict["images"] by @ilkermanap in https://github.com/obss/sahi/pull/827
update yolo in tests by @fcakyon in https://github.com/obss/sahi/pull/829
update mmdet in tests by @fcakyon in https://github.com/obss/sahi/pull/830
Add yolov8 to SAHI by @NguyenTheAn in https://github.com/obss/sahi/pull/833
Added heuristic for bounding bbox ordering by @MLDovakin in https://github.com/obss/sahi/pull/835
update citation info by @fcakyon in https://github.com/obss/sahi/pull/837
Fix RGB channel ordering for yolov8 by @mayrajeo in https://github.com/obss/sahi/pull/836
update minor version by @fcakyon in https://github.com/obss/sahi/pull/842

New Contributors

@ilkermanap made their first contribution in https://github.com/obss/sahi/pull/827
@NguyenTheAn made their first contribution in https://github.com/obss/sahi/pull/833
@MLDovakin made their first contribution in https://github.com/obss/sahi/pull/835
@mayrajeo made their first contribution in https://github.com/obss/sahi/pull/836

Full Changelog: https://github.com/obss/sahi/compare/0.11.11...0.11.12

- Python
Published by fcakyon almost 3 years ago

sahi - v0.11.11

What's Changed

improve segmentation visualization by @fcakyon in https://github.com/obss/sahi/pull/812

Full Changelog: https://github.com/obss/sahi/compare/0.11.10...0.11.11

- Python
Published by fcakyon about 3 years ago

sahi - v0.11.10

What's Changed

Update requirements.txt by @dean-wetherby-simplisafe in https://github.com/obss/sahi/pull/802
fix pybboxes version by @fcakyon in https://github.com/obss/sahi/pull/803
improve coco to yolov5 conversion by @fcakyon in https://github.com/obss/sahi/pull/805
increase version by @fcakyon in https://github.com/obss/sahi/pull/806

New Contributors

@dean-wetherby-simplisafe made their first contribution in https://github.com/obss/sahi/pull/802

Full Changelog: https://github.com/obss/sahi/compare/0.11.9...0.11.10

- Python
Published by fcakyon about 3 years ago

sahi - v0.11.9

What's Changed

update yolov5 version in ci by @fcakyon in https://github.com/obss/sahi/pull/797
fix torch dependency in HuggingfaceDetectionModel by @fcakyon in https://github.com/obss/sahi/pull/798
update installation, support latest transformers version by @fcakyon in https://github.com/obss/sahi/pull/799

Full Changelog: https://github.com/obss/sahi/compare/0.11.8...0.11.9

- Python
Published by fcakyon about 3 years ago

sahi - v0.11.8

What's Changed

update coco to yolov5 export by @fcakyon in https://github.com/obss/sahi/pull/794

Full Changelog: https://github.com/obss/sahi/compare/0.11.7...0.11.8

- Python
Published by fcakyon about 3 years ago

sahi - v0.11.7

What's Changed

make default verbose false for min version check by @fcakyon in https://github.com/obss/sahi/pull/765
download mmdet yolox model from hfhub in tests by @fcakyon in https://github.com/obss/sahi/pull/766
update torchvision demo by @fcakyon in https://github.com/obss/sahi/pull/776
The coco.md file has been updated. by @kadirnar in https://github.com/obss/sahi/pull/777
Added indent parameter to save_json parameter. by @kadirnar in https://github.com/obss/sahi/pull/783
fix slicing tests by @fcakyon in https://github.com/obss/sahi/pull/787
fix json.decoder.JSONDecodeError in coco to yolov5 conversion by @kadirnar in https://github.com/obss/sahi/pull/786

Full Changelog: https://github.com/obss/sahi/compare/0.11.6...0.11.7

- Python
Published by fcakyon about 3 years ago

sahi - v0.11.6

What's Changed

fix detectron2 device by @fcakyon in https://github.com/obss/sahi/pull/763
update dependency versions in ci by @fcakyon in https://github.com/obss/sahi/pull/760
remove python3.6 in ci by @fcakyon in https://github.com/obss/sahi/pull/762

Full Changelog: https://github.com/obss/sahi/compare/0.11.5...0.11.6

- Python
Published by fcakyon about 3 years ago

sahi - v0.11.5

What's Changed

fixes a bug that prevents cuda device selection by @fcakyon in https://github.com/obss/sahi/pull/756

Full Changelog: https://github.com/obss/sahi/compare/0.11.4...0.11.5

- Python
Published by fcakyon about 3 years ago

sahi - v0.11.4

What's Changed

improve bbox data structure by @fcakyon in https://github.com/obss/sahi/pull/730
make some classes importable from highest level by @fcakyon in https://github.com/obss/sahi/pull/731
add min dependency version check by @fcakyon in https://github.com/obss/sahi/pull/734
handle numpy bbox in object annotation by @fcakyon in https://github.com/obss/sahi/pull/735
add 2 slicing utils by @fcakyon in https://github.com/obss/sahi/pull/736
fix predict script by @fcakyon in https://github.com/obss/sahi/pull/737
update torch torchvision versions in ci by @fcakyon in https://github.com/obss/sahi/pull/729
update ci workflow name by @fcakyon in https://github.com/obss/sahi/pull/732

Full Changelog: https://github.com/obss/sahi/compare/0.11.3...0.11.4

- Python
Published by fcakyon over 3 years ago

sahi - v0.11.3

What's Changed

update model dependency and device management by @fcakyon in https://github.com/obss/sahi/pull/725
implement indexing support for slice image result by @fcakyon in https://github.com/obss/sahi/pull/726
update version by @fcakyon in https://github.com/obss/sahi/pull/727

Full Changelog: https://github.com/obss/sahi/compare/0.11.2...0.11.3

- Python
Published by fcakyon over 3 years ago

sahi - v0.11.2

What's Changed

support uppercase letter image/video extensions by @fcakyon in https://github.com/obss/sahi/pull/713
add cited paper list and competition winners by @fcakyon in https://github.com/obss/sahi/pull/705
fix a typo in readme by @fcakyon in https://github.com/obss/sahi/pull/706
update version by @fcakyon in https://github.com/obss/sahi/pull/707
make ci trigger more efficient by @fcakyon in https://github.com/obss/sahi/pull/709
update mmcv mmdet in ci by @fcakyon in https://github.com/obss/sahi/pull/714
update contributing and contributors sections in readme by @fcakyon in https://github.com/obss/sahi/pull/715
update predict docs by @fcakyon in https://github.com/obss/sahi/pull/723

Full Changelog: https://github.com/obss/sahi/compare/0.11.1...0.11.2

- Python
Published by fcakyon over 3 years ago

sahi - v0.11.1

What's Changed

fix coco segm eval by @fcakyon in https://github.com/obss/sahi/pull/701
add float bbox and segm point support, remove mot utils by @fcakyon in https://github.com/obss/sahi/pull/702

Full Changelog: https://github.com/obss/sahi/compare/0.11.0...0.11.1

- Python
Published by fcakyon over 3 years ago

sahi - v0.11.0

What's Changed

refactor models structure by @fcakyon in https://github.com/obss/sahi/pull/694

Full Changelog: https://github.com/obss/sahi/compare/0.10.8...0.11.0

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.8

What's Changed

remove layer support by @fcakyon in https://github.com/obss/sahi/pull/692
Fixed a bug in greedynmm func by @youngjae-avikus in https://github.com/obss/sahi/pull/691
flake8 dependency fix for python3.7. by @devrimcavusoglu in https://github.com/obss/sahi/pull/676
fix links in readme by @fcakyon in https://github.com/obss/sahi/pull/689

Full Changelog: https://github.com/obss/sahi/compare/0.10.7...0.10.8

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.7

What's Changed

update pybboxes version by @fcakyon in https://github.com/obss/sahi/pull/598
add support for yolov5==6.1.9 by @fcakyon in https://github.com/obss/sahi/pull/601
refactor demo notebooks by utilizing newly introduced AutoDetectionMo… by @ishworii in https://github.com/obss/sahi/pull/516
add norfair>=2.0.0 support by @fcakyon in https://github.com/obss/sahi/pull/595
Changed Mask class to store RLE encoded masks to save RAM. by @ChristofferEdlund in https://github.com/obss/sahi/pull/599
update workflow versions by @fcakyon in https://github.com/obss/sahi/pull/603

New Contributors

@ishworii made their first contribution in https://github.com/obss/sahi/pull/516
@ChristofferEdlund made their first contribution in https://github.com/obss/sahi/pull/599

Full Changelog: https://github.com/obss/sahi/compare/0.10.6...0.10.7

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.6

What's Changed

support yolov5>=6.1.9 by @fcakyon in https://github.com/obss/sahi/pull/592
update installation in readme by @fcakyon in https://github.com/obss/sahi/pull/584

Full Changelog: https://github.com/obss/sahi/compare/0.10.5...0.10.6

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.5

What's Changed

bugfix

fix auto slice warning by @fcakyon in https://github.com/obss/sahi/pull/574
fix a slice_image error by @fcakyon in https://github.com/obss/sahi/pull/575

other

fix layer tests by @fcakyon in https://github.com/obss/sahi/pull/577
update ci package versions by @fcakyon in https://github.com/obss/sahi/pull/576

Full Changelog: https://github.com/obss/sahi/compare/0.10.4...0.10.5

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.4

What's Changed

hotfix for occasional segmentation fault by @fcakyon in https://github.com/obss/sahi/pull/546
refactor requirement checking by @fcakyon in https://github.com/obss/sahi/pull/549
Code formatting and checks are moved to a single module. by @devrimcavusoglu in https://github.com/obss/sahi/pull/548
fix a typo in type hinting by @ymerkli in https://github.com/obss/sahi/pull/553
fix an incorrect url in comments by @aynursusuz in https://github.com/obss/sahi/pull/554
update version by @fcakyon in https://github.com/obss/sahi/pull/555
fix linting script by @devrimcavusoglu in https://github.com/obss/sahi/pull/558
fix an incorrect url in comments by @aynursusuz in https://github.com/obss/sahi/pull/559

New Contributors

@ymerkli made their first contribution in https://github.com/obss/sahi/pull/553
@aynursusuz made their first contribution in https://github.com/obss/sahi/pull/554

Full Changelog: https://github.com/obss/sahi/compare/0.10.3...0.10.4

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.3

What's Changed

fix coco2fiftyone script by @fcakyon in https://github.com/obss/sahi/pull/540
fix segmentation fault in same cases by @fcakyon in https://github.com/obss/sahi/pull/541

Full Changelog: https://github.com/obss/sahi/compare/0.10.2...0.10.3

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.2

What's Changed

add automatic slice size calculation by @mcvarer in https://github.com/obss/sahi/pull/512
Fix bug that Unable to print for prediction time when verbose=2 by @youngjae-avikus in https://github.com/obss/sahi/pull/521
pybboxes allow oob, strict=False fix. by @devrimcavusoglu in https://github.com/obss/sahi/pull/528
update predict verbose by @fcakyon in https://github.com/obss/sahi/pull/514
update pybboxes version by @fcakyon in https://github.com/obss/sahi/pull/531

New Contributors

@youngjae-avikus made their first contribution in https://github.com/obss/sahi/pull/521

Full Changelog: https://github.com/obss/sahi/compare/0.10.1...0.10.2

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.1

What's Changed

add python 3.10 support by @fcakyon in https://github.com/obss/sahi/pull/503
add filename to exportvisuals by @mcvarer in https://github.com/obss/sahi/pull/507
refactor automodel to lazyload models by @fcakyon in https://github.com/obss/sahi/pull/509
update automodel loading method to from_pretrained by @fcakyon in https://github.com/obss/sahi/pull/510

New Contributors

@mcvarer made their first contribution in https://github.com/obss/sahi/pull/507

Full Changelog: https://github.com/obss/sahi/compare/0.10.0...0.10.1

- Python
Published by fcakyon over 3 years ago

sahi - v0.10.0

New Features

- Layer.ai integration

```python from sahi import AutoDetectionModel

detectionmodel = AutoDetectionModel.fromlayer("layer/yolov5/models/yolov5s")

result = getslicedprediction( "image.jpeg", detectionmodel, sliceheight = 512, slicewidth = 512, overlapheightratio = 0.2, overlapwidth_ratio = 0.2 ) ```

- HuggingfFace Transformers object detectors

```python from sahi.model import HuggingfaceDetectionModel

detectionmodel = HuggingfaceDetectionModel( modelpath="facebook/detr-resnet-50", imagesize=640, confidencethreshold=0.5 )

result = getslicedprediction( "image.jpeg", detectionmodel, sliceheight = 512, slicewidth = 512, overlapheightratio = 0.2, overlapwidth_ratio = 0.2 ) ```

- TorchVision object detectors

```python import torchvision from sahi.model import TorchVisionDetectionModel

model = torchvision.models.detection.fasterrcnnresnet50fpn(pretrained=True)

detectionmodel = TorchVisionDetectionModel( model=model, imagesize=640, confidence_threshold=0.5 )

result = getslicedprediction( "image.jpeg", detectionmodel, sliceheight = 512, slicewidth = 512, overlapheightratio = 0.2, overlapwidth_ratio = 0.2 ) ```

- Support for exporting predictions in COCO format

```python from sahi.utils.coco import Coco, CocoImage, CocoAnnotation, CocoPrediction from sahi.utils.file import save_json from pycocotools.cocoeval import COCOeval from pycocotools.coco import COCO

coco_obj = Coco()

add n images to coco_obj

for _ in range(n): image = CocoImage(**kwargs)

# add n annotations to the image
for _ in ange(n):
    image.add_annotation(CocoAnnotation(**kwargs))

# add n predictions to the image
for _ in range(n)
    image.add_prediction(CocoPrediction(**kwargs))

# add image to coco object
coco_obj.add_image(image)

export ground truth annotations

cocogt = cocoobj.json savejson(cocogt , "ground_truth.json")

export predictions

cocopredictions = cocoobj.predictionarray savejson(coco_predictions, "predictions.json")

cocogroundtruth = COCO(annotationfile="cocodataset.json") cocopredictions = cocogroundtruth.loadRes("cocopredictions.json") cocoevaluator = COCOeval(cocogroundtruth, cocopredictions, "bbox") cocoevaluator.evaluate() cocoevaluator.accumulate() coco_evaluator.summarize() ```

What's Changed

refactor torch utils by @fcakyon in https://github.com/obss/sahi/pull/468
add automodel structure for unified model loading by @fcakyon in https://github.com/obss/sahi/pull/469
add support to instantiate a DetectionModel from layer by @mecevit in https://github.com/obss/sahi/pull/462
refactor automodel by @fcakyon in https://github.com/obss/sahi/pull/470
update layer versions in workflows by @fcakyon in https://github.com/obss/sahi/pull/471
update version to 0.10.0 by @fcakyon in https://github.com/obss/sahi/pull/474
Added support for exporting predictions in COCO format by @PushpakBhoge in https://github.com/obss/sahi/pull/465
update contributors in readme by @fcakyon in https://github.com/obss/sahi/pull/477
update device priority for Detectron2DetectionModel by @fcakyon in https://github.com/obss/sahi/pull/479
fix pickle export for video by @fcakyon in https://github.com/obss/sahi/pull/481
update continuous integration by @fcakyon in https://github.com/obss/sahi/pull/483
refactor import and torch utils by @fcakyon in https://github.com/obss/sahi/pull/484
make detectionmodel classes more explicit in automodel by @fcakyon in https://github.com/obss/sahi/pull/485
utilize check_requirements in several modules by @fcakyon in https://github.com/obss/sahi/pull/487
update package versions in workflows by @fcakyon in https://github.com/obss/sahi/pull/488
add support for huggingface transformers object detectors by @devrimcavusoglu in https://github.com/obss/sahi/pull/475
add torchvision detector support by @fcakyon in https://github.com/obss/sahi/pull/486
remove legacy image_size parameter by @kadirnar in https://github.com/obss/sahi/pull/494
AutoDetectionModel can be imported from sahi by @fcakyon in https://github.com/obss/sahi/pull/498
add python3.6 support by @fcakyon in https://github.com/obss/sahi/pull/489
refactor exception handling by @kadirnar in https://github.com/obss/sahi/pull/499
improve requirements and import handling by @fcakyon in https://github.com/obss/sahi/pull/502

New Contributors

@mecevit made their first contribution in https://github.com/obss/sahi/pull/462
@PushpakBhoge made their first contribution in https://github.com/obss/sahi/pull/465

Full Changelog: https://github.com/obss/sahi/compare/0.9.4...0.10.0

- Python
Published by fcakyon over 3 years ago

sahi - v0.9.4

What's Changed

reduce ram usage by adding buffer based merging by @weypro in https://github.com/obss/sahi/pull/445
improve json loading by @qingfengtommy in https://github.com/obss/sahi/pull/453

New Contributors

@weypro made their first contribution in https://github.com/obss/sahi/pull/445
@qingfengtommy made their first contribution in https://github.com/obss/sahi/pull/453

Full Changelog: https://github.com/obss/sahi/compare/0.9.3...0.9.4

- Python
Published by fcakyon over 3 years ago

sahi - v0.9.3

What's Changed

add support for video prediction by @madenburak in https://github.com/obss/sahi/pull/442

sahi-video-inf * export prediction visuals by default @fcakyon in ## * add detection_model input to predict function by @ssahinnkadir in https://github.com/obss/sahi/pull/443 * refactor postprocess call by @fcakyon in https://github.com/obss/sahi/pull/458 * update yolov5, mmdet, norfair versions in ci by @fcakyon in https://github.com/obss/sahi/pull/459

New Contributors

@madenburak made their first contribution in https://github.com/obss/sahi/pull/442

Full Changelog: https://github.com/obss/sahi/compare/0.9.2...0.9.3

- Python
Published by fcakyon almost 4 years ago

sahi - v0.9.2

What's Changed

fix fiftyone utils by @fcakyon in https://github.com/obss/sahi/pull/423
update paper doi badge by @fcakyon in https://github.com/obss/sahi/pull/424
update env setup in readme by @kadirnar in https://github.com/obss/sahi/pull/408
update contributing section in readme by @fcakyon in https://github.com/obss/sahi/pull/434
update cli docs by @fcakyon in https://github.com/obss/sahi/pull/437
update package versions in ci by @fcakyon in https://github.com/obss/sahi/pull/439
update version by @fcakyon in https://github.com/obss/sahi/pull/440

Full Changelog: https://github.com/obss/sahi/compare/0.9.1...0.9.2

- Python
Published by fcakyon almost 4 years ago

sahi - v0.9.1

What's Changed

add the list of competitions sahi made us win by @fcakyon in https://github.com/obss/sahi/pull/385
add citation to paper by @fcakyon in https://github.com/obss/sahi/pull/387
add arxiv url for the SAHI paper by @fcakyon in https://github.com/obss/sahi/pull/388
handle invalid mask prediction by @fcakyon in https://github.com/obss/sahi/pull/390
improve code quality by @fcakyon in https://github.com/obss/sahi/pull/398
improve nms postprocess by @tureckova in https://github.com/obss/sahi/pull/405

Full Changelog: https://github.com/obss/sahi/compare/0.9.0...0.9.1

- Python
Published by fcakyon almost 4 years ago

sahi - v0.9.0

detectron2

What's Changed

add detectron2 support by @kadirnar in https://github.com/obss/sahi/pull/322
update detectron notebook by @fcakyon in https://github.com/obss/sahi/pull/355
refactor readme by @fcakyon in https://github.com/obss/sahi/pull/316
refactor slice_coco script and cli by @fcakyon in https://github.com/obss/sahi/pull/359
update analysis gif in readme by @fcakyon in https://github.com/obss/sahi/pull/362
update slice_coco export naming by @fcakyon in https://github.com/obss/sahi/pull/361
fix broken links in readme by @fcakyon in https://github.com/obss/sahi/pull/365
add kaggle notebook into readme by @rkinas in https://github.com/obss/sahi/pull/366
handle when class name contains invalid char by @fcakyon in https://github.com/obss/sahi/pull/369
handle out of image bbox predictions by @fcakyon in https://github.com/obss/sahi/pull/373
handle annotation dict without segmentation by @tureckova in https://github.com/obss/sahi/pull/374
fix unused coco util by @fcakyon @oulcan in https://github.com/obss/sahi/pull/375
fix coco util tests by @fcakyon in https://github.com/obss/sahi/pull/376
update torch, torchvision, mmdet, mmcv in tests by @fcakyon in https://github.com/obss/sahi/pull/379
handle nms-postprocess in edge cases by @fcakyon in https://github.com/obss/sahi/pull/370

New Contributors

@kadirnar made their first contribution in https://github.com/obss/sahi/pull/322
@tureckova made their first contribution in https://github.com/obss/sahi/pull/374

Full Changelog: https://github.com/obss/sahi/compare/0.8.22...0.9.0

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.22

What's Changed

fix LSNMS potprocess handle numpy array index in ObjectPredictionList by @fcakyon in https://github.com/obss/sahi/pull/350
fix unused coco merge util by @fcakyon in https://github.com/obss/sahi/pull/353

Full Changelog: https://github.com/obss/sahi/compare/0.8.20...0.8.22

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.20

What's Changed

fix typo in print by @fcakyon in https://github.com/obss/sahi/pull/339
Update error analysis by @fcakyon in https://github.com/obss/sahi/pull/340
fix warning messages in coco analysis by @fcakyon in https://github.com/obss/sahi/pull/341
add auto postprocess type to predict by @fcakyon in https://github.com/obss/sahi/pull/342
refactor fiftyone utils by @fcakyon in https://github.com/obss/sahi/pull/345

Full Changelog: https://github.com/obss/sahi/compare/0.8.19...0.8.20

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.19

What's Changed

fix visual export for windows by @fcakyon in https://github.com/obss/sahi/pull/335
refactor scripts by @fcakyon in https://github.com/obss/sahi/pull/333

Full Changelog: https://github.com/obss/sahi/compare/0.8.18...0.8.19

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.18

What's Changed

refactor postprocessing and coco eval for 100x speed up by @fcakyon in https://github.com/obss/sahi/pull/320
refactor image_size and model_confidence for faster inference by @fcakyon in https://github.com/obss/sahi/pull/329
remove deprecated coco util by @fcakyon in https://github.com/obss/sahi/pull/323
fix LSNMSPostprocess by @fcakyon in https://github.com/obss/sahi/pull/330
fix rmtree in tests by @fcakyon in https://github.com/obss/sahi/pull/326

Full Changelog: https://github.com/obss/sahi/compare/0.8.16...0.8.18

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.16

What's Changed

refactorize model classes, handle invalid polygons, minor improvements by @fcakyon in https://github.com/obss/sahi/pull/311
refactor tests and coco utils by @fcakyon in https://github.com/obss/sahi/pull/313
fix nms postprocess by @fcakyon in https://github.com/obss/sahi/pull/314
update predict verbose by @fcakyon in https://github.com/obss/sahi/pull/317
print exports dirs after process finishes by @fcakyon in https://github.com/obss/sahi/pull/318

Full Changelog: https://github.com/obss/sahi/compare/0.8.15...0.8.16

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.15

What's Changed

update default params to match coco eval and error analysis by @fcakyon in https://github.com/obss/sahi/pull/306
utilize max_detections in cocoerroranalysis by @fcakyon in https://github.com/obss/sahi/pull/307
reformat cocoerroranalysis with black by @fcakyon in https://github.com/obss/sahi/pull/308

Full Changelog: https://github.com/obss/sahi/compare/0.8.14...0.8.15

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.14

What's Changed

fix a typo in image id by @fcakyon in https://github.com/obss/sahi/pull/299
update mmdet, mmcv, yolov5 version in ci by @fcakyon in https://github.com/obss/sahi/pull/303

Full Changelog: https://github.com/obss/sahi/compare/0.8.13...0.8.14

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.13

What's Changed

fix typo in sahi coco analyse command by @fcakyon in https://github.com/obss/sahi/pull/295
add support for fiftyone > 0.14.2 by @fcakyon in https://github.com/obss/sahi/pull/296
fix yolov5 category mapping by @fcakyon in https://github.com/obss/sahi/pull/297

Full Changelog: https://github.com/obss/sahi/compare/0.8.12...0.8.13

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.12

Check YOLOX + SAHI demo:

What's Changed

fix nms postprocess by @fcakyon in https://github.com/obss/sahi/pull/287
fix shapely tests for shapely v2.0.0 by @fcakyon in https://github.com/obss/sahi/pull/288
add requests into dependencies by @fcakyon in https://github.com/obss/sahi/pull/290
add demo gif to readme by @fcakyon in https://github.com/obss/sahi/pull/294

Full Changelog: https://github.com/obss/sahi/compare/0.8.11...0.8.12

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.11

What's Changed

add url image read to read_image_as_pil by @fcakyon in https://github.com/obss/sahi/pull/283
faster mmdet config download by @fcakyon in https://github.com/obss/sahi/pull/285
add HuggingFace Spaces badge. by @devrimcavusoglu in https://github.com/obss/sahi/pull/282
update to v0.8.11 by @fcakyon in https://github.com/obss/sahi/pull/284

Full Changelog: https://github.com/obss/sahi/compare/0.8.10...0.8.11

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.10

What's Changed

improve mmdet config download util by @fcakyon in https://github.com/obss/sahi/pull/278
update version to v0.8.10 by @fcakyon in https://github.com/obss/sahi/pull/279
add zenodo doi and citation into readme by @fcakyon in https://github.com/obss/sahi/pull/280
fix broken link in readme by @fcakyon in https://github.com/obss/sahi/pull/277
fix mmcv installation in readme by @fcakyon in https://github.com/obss/sahi/pull/281

Full Changelog: https://github.com/obss/sahi/compare/0.8.9...0.8.10

- Python
Published by fcakyon about 4 years ago

sahi - v0.8.9

What's Changed

improve result visuals/plots by @fcakyon in https://github.com/obss/sahi/pull/271
add get_coco_with_clipped_bboxes utility to coco class by @ssahinnkadir in https://github.com/obss/sahi/pull/264
fix mmdet channel order by @fcakyon in https://github.com/obss/sahi/pull/266
handle when mask prediction is empty by @fcakyon in https://github.com/obss/sahi/pull/269
handle invalid annotation polygon by @fcakyon in https://github.com/obss/sahi/pull/268
add missing shapely 2.0.0 support by @fcakyon in https://github.com/obss/sahi/pull/270
update torch, torchvision, mmdet, mmcv versions in tests by @fcakyon in https://github.com/obss/sahi/pull/267

Full Changelog: https://github.com/obss/sahi/compare/0.8.8...0.8.9

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.8

enhancement

add coco to yolov5 export utilty (#258)
shapely 2.0.0 support, supported fiftyone versions (#257)
update shapely to v1.8.0 (#259) ## bugfixes
fix a bug in coco upsampling/downsampling (#253)
fix a bug in exportcocoas_yolov5 (#262) ## ci
update yolov5 version in tests (#256)

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.6

improvements

update postprocess behaviour (#247) ## testing
update torch to 1.9.1 for workflows (#248)
update mmdet version to 2.17.0 for testing (#250)
add yolov5n weight download util (#251)
improve test durations (#252)

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.5

bugfixes, enhancements

handle when image name is very short in yolov5 conversion (#230)
fix coco category creation without supercategory (#237)
fix yolov5 conf threshold (#242)
fix mmdet img size (#243)
handle when mmdet config contains resize with keep_ratio=False (#244)
update yolov5 version to 6.0.1 in ci tests (#245)

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.4

handle predictions with negative bbox values (#225)
fix removeinvalidcoco_results (#227)
fix coco evaluation (#228)

Remove invalid coco results: ```python from sahi.utils.file import savejson from sahi.utils.coco import removeinvalidcocoresults

remove invalid predictions from COCO results JSON

cocoresults = removeinvalidcocoresults("coco_result.json")

export processed COCO results

savejson(cocoresults, "fixedcocoresult.json")

bonus: remove invalid predictions from COCO results JSON by giving COCO

dataset path to also filter out bbox results exceeding image height&width

cocoresults = removeinvalidcocoresults("cocoresult.json", "cocodataset.json") ```

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.3

fix a bug in coco2fiftyone (#223)

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.2

fix optional dependencies (#221)
move conda builds to conda-forge (#219)

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.1

make repo compatible for conda-forge: - Include requirements.txt in sdist (#217) thanks to @weiji14

- Python
Published by fcakyon over 4 years ago

sahi - v0.8.0

new cli description:

| Command | Description | |---|---| | predict | perform sliced/standard prediction using any yolov5/mmdet model | | predict-fiftyone | perform sliced/standard prediction using any yolov5/mmdet model and explore results in fiftyone app | | coco slice | automatically slice COCO annotation and image files | | coco fiftyone | explore multiple prediction results on your COCO dataset ordered by false positives | | coco evaluate | evaluate classwise COCO AP and AR for given predictions and ground truth | | coco analyse | calcualate and export many detection and segmentation error margin plots | | coco yolov5 | automatically convert any COCO dataset to yolov5 format |

new cli usage:

predict

bash sahi predict --source image/file/or/folder --model_path path/to/model --model_config_path path/to/config

predict-fiftyone

bash sahi predict-fiftyone --image_dir image/file/or/folder --dataset_json_path dataset.json --model_path path/to/model --model_config_path path/to/config

coco slice

bash sahi coco slice --image_dir dir/to/images --dataset_json_path dataset.json

coco fiftyone

bash sahi coco fiftyone --image_dir dir/to/images --dataset_json_path dataset.json cocoresult1.json cocoresult2.json

coco evaluate

bash sahi coco evaluate --dataset_json_path dataset.json --result_json_path result.json

coco analyse

bash sahi coco analyse --dataset_json_path dataset.json --result_json_path result.json

coco yolov5

bash sahi coco yolov5 --image_dir dir/to/images --dataset_json_path dataset.json --train_split 0.9

breaking changes in `predict cli`:

config_path to model_config_path
conf_thresh to model_confidence_threshold
match_metric to postprocess_match_metric
match_thresh to postprocess_match_threshold
class_agnostic to postprocess_class_agnostic
pickle to export_pickle, crop to export_crop
novisual to export_visual
no_sliced_pred to no_sliced_prediction
no_standard_pred to no_standard_prediction
coco_file to dataset_json_path

- Python
Published by fcakyon over 4 years ago

sahi - v0.7.4

enhancements

add script for inspecting cocoresults in fiftyone (#192)
create symlinks for mot utils (#199)
handle when iou_thrs is a single float (#196)
Update coco_evaluation.py (#197)

bugfix

fix coco_evaluation script (#195)
fix a typo in object annotation (#194)

- Python
Published by fcakyon over 4 years ago

sahi - v0.7.3

enhancements

handle negative bbox coords, utilize image_size param (#188)
add getupsampledcoco utility to Coco (#189)
add category and negative sample based coco up/sub-sampling (#191)
Subsample COCO dataset file:

```python from sahi.utils.coco import Coco

specify coco dataset path

coco_path = "coco.json"

init Coco object

coco = Coco.fromcocodictorpath(coco_path)

create a Coco object with 1/10 of total images

subsampledcoco = coco.getsubsampledcoco(subsampleratio=10)

export subsampled COCO dataset

savejson(subsampledcoco.json, "subsampled_coco.json")

bonus: create a Coco object with 1/10 of total images that contain first category

subsampledcoco = coco.getsubsampledcoco(subsampleratio=10, category_id=0)

bonus2: create a Coco object with negative samples reduced to 1/10

subsampledcoco = coco.getsubsampledcoco(subsampleratio=10, category_id=-1) ```

Upsample COCO dataset file:

```python from sahi.utils.coco import Coco

specify coco dataset path

coco_path = "coco.json"

init Coco object

coco = Coco.fromcocodictorpath(coco_path)

create a Coco object with each sample is repeated 10 times

upsampledcoco = coco.getupsampledcoco(upsampleratio=10)

export upsampled COCO dataset

savejson(upsampledcoco.json, "upsampled_coco.json")

bonus: create a Coco object with images that contain first category repeated 10 times

subsampledcoco = coco.getsubsampledcoco(upsampleratio=10, category_id=0)

bonus2: create a Coco object with negative samples upsampled by 10 times

upsampledcoco = coco.getupsampledcoco(upsampleratio=10, category_id=-1) ```

- Python
Published by fcakyon over 4 years ago

sahi - v0.7.2

add large tiff image reading support (#183)
add concurrent slice export (#184)

- Python
Published by fcakyon over 4 years ago

sahi - v0.7.1

fix segmentation slicing (#174)

- Python
Published by fcakyon over 4 years ago

sahi - v0.7.0

refactor predict api (#170)

breaking changes

in predict and predict_fiftyone funtions: - replaced model_name arg with model_type - replaced model_parameters arg with model_path, model_config_path, model_confidence_threshold, model_device, model_category_mapping, model_category_remapping

in DetectionModel base class: - replaced prediction_score_threshold arg with confidence_threshold

updated demo notebooks accordingly

- Python
Published by fcakyon over 4 years ago

sahi - v0.6.2

add input size parameter for inference (#169)

Example usages:

```python

detectionmodel = Yolov5DetectionModel( modelpath=yolov5modelpath, device="cpu", # or 'cuda' )

result = detectionmodel.performinference( image, image_size=1280 )

result = getprediction( "demodata/small-vehicles1.jpeg", detectionmodel, imagesize=1280 )

result = getslicedprediction( "demodata/small-vehicles1.jpeg", detectionmodel, imagesize=1280, sliceheight = 256, slicewidth = 256, overlapheightratio = 0.2, overlapwidth_ratio = 0.2 )

```

- Python
Published by fcakyon over 4 years ago

sahi - v0.6.1

refactor slice_coco script (#165)
make default for ignorenegativesamples, False (#166)

- Python
Published by fcakyon over 4 years ago

sahi - v0.6.0

enhancement

add cocoevaluation script, refactor cocoerroranalysis script (#162) `cocoevaluation.py` script usage:

bash python scripts/coco_evaluation.py dataset.json results.json

will calculate coco evaluation and export them to given output folder directory.

If you want to specify mAP metric type, set it as --metric bbox mask.

If you want to also calculate classwise scores add --classwise argument.

If you want to specify max detections, set it as --proposal_nums 10 100 500.

If you want to specify a psecific IOU threshold, set it as --iou_thrs 0.5. Default includes 0.50:0.95 and 0.5 scores.

If you want to specify export directory, set it as --out_dir output/folder/directory.

coco_error_analysis.py script usage:

bash python scripts/coco_error_analysis.py dataset.json results.json

will calculate coco error plots and export them to given output folder directory.

If you want to specify mAP result type, set it as --types bbox mask.

If you want to export extra mAP bar plots and annotation area stats add --extraplots argument.

If you want to specify area regions, set it as --areas 1024 9216 10000000000.

If you want to specify export directory, set it as --out_dir output/folder/directory.

bugfixes

prevent empty bbox coco json creation (#164)
dont create mot info while when type='det' (#163)

breaking changes

refactor predict (#161) By default, scripts apply both standard and sliced prediction (multi-stage inference). If you don't want to perform sliced prediction add --no_sliced_pred argument. If you don't want to perform standard prediction add --no_standard_pred argument.

- Python
Published by fcakyon over 4 years ago

sahi - v0.5.2

fix negative bbox coord error (#160)

- Python
Published by fcakyon over 4 years ago

sahi - v0.5.1

add predict_fiftyone script to perform sliced/standard inference over yolov5/mmdetection models and visualize the incorrect prediction over the fiftyone ui.

sahi_fiftyone

fix mot utils (#152)

- Python
Published by fcakyon over 4 years ago

sahi - v0.5.0

add check for image size in slice_image (#147)
refactor prediction output (#148)
fix slice_image in readme (#149)

refactor prediction output

```python

perform standard or sliced prediction

result = getprediction(image, detectionmodel) result = getslicedprediction(image, detection_model)

export prediction visuals to "demo_data/"

result.exportvisuals(exportdir="demo_data/")

convert predictions to coco annotations

result.tococoannotations()

convert predictions to coco predictions

result.tococopredictions(image_id=1)

convert predictions to imantics annotation format

result.toimanticsannotations()

convert predictions to fiftyone detection format

result.tofiftyonedetections() ```

Check more in colab notebooks:

YOLOv5 + SAHI demo:

MMDetection + SAHI demo:

- Python
Published by fcakyon over 4 years ago

sahi - v0.4.8

update mot utils (#143)
add fiftyone utils (#144)

FiftyOne Utilities

Explore COCO dataset via FiftyOne app:

```python from sahi.utils.fiftyone import launch_fiftyone_app # launch fiftyone app: session = launch_fiftyone_app(coco_image_dir, coco_json_path) # close fiftyone app: session.close() ```

Convert predictions to FiftyOne detection:

```python from sahi import get_sliced_prediction # perform sliced prediction result = get_sliced_prediction( image, detection_model, slice_height = 256, slice_width = 256, overlap_height_ratio = 0.2, overlap_width_ratio = 0.2 ) # convert first object into fiftyone detection format object_prediction = result["object_prediction_list"][0] fiftyone_detection = object_prediction.to_fiftyone_detection(image_height=720, image_width=1280) ```

- Python
Published by fcakyon over 4 years ago

sahi - v0.4.6

new feature

add more mot utils (#133)

MOT Challenge formatted ground truth dataset creation:
import required classes:

python from sahi.utils.mot import MotAnnotation, MotFrame, MotVideo

init video:

python mot_video = MotVideo(name="sequence_name")

init first frame:

python mot_frame = MotFrame()

add annotations to frame:

```python motframe.addannotation( MotAnnotation(bbox=[xmin, ymin, width, height]) )

motframe.addannotation( MotAnnotation(bbox=[xmin, ymin, width, height]) ) ```

add frame to video:

python mot_video.add_frame(mot_frame)

export in MOT challenge format:

python mot_video.export(export_dir="mot_gt", type="gt")

your MOT challenge formatted ground truth files are ready under mot_gt/sequence_name/ folder.

Advanced MOT Challenge formatted ground truth dataset creation:

- you can customize tracker while initializing mot video object: ```python tracker_params = { 'max_distance_between_points': 30, 'min_detection_threshold': 0, 'hit_inertia_min': 10, 'hit_inertia_max': 12, 'point_transience': 4, } # for details: https://github.com/tryolabs/norfair/tree/master/docs#arguments mot_video = MotVideo(tracker_kwargs=tracker_params) ``` - you can omit automatic track id generation and directly provide track ids of annotations: ```python # create annotations with track ids: mot_frame.add_annotation( MotAnnotation(bbox=[x_min, y_min, width, height], track_id=1) ) mot_frame.add_annotation( MotAnnotation(bbox=[x_min, y_min, width, height], track_id=2) ) # add frame to video: mot_video.add_frame(mot_frame) # export in MOT challenge format without automatic track id generation: mot_video.export(export_dir="mot_gt", type="gt", use_tracker=False) ``` - you can overwrite the results into already present directory by adding `exist_ok=True`: ```python mot_video.export(export_dir="mot_gt", type="gt", exist_ok=True) ```

MOT Challenge formatted tracker output creation:

- import required classes: ```python from sahi.utils.mot import MotAnnotation, MotFrame, MotVideo ``` - init video by providing video name: ```python mot_video = MotVideo(name="sequence_name") ``` - init first frame: ```python mot_frame = MotFrame() ``` - add tracker outputs to frame: ```python mot_frame.add_annotation( MotAnnotation(bbox=[x_min, y_min, width, height], track_id=1) ) mot_frame.add_annotation( MotAnnotation(bbox=[x_min, y_min, width, height], track_id=2) ) ``` - add frame to video: ```python mot_video.add_frame(mot_frame) ``` - export in MOT challenge format: ```python mot_video.export(export_dir="mot_test", type="test") ``` - your MOT challenge formatted ground truth files are ready as `mot_test/sequence_name.txt`.

Advanced MOT Challenge formatted tracker output creation:

- you can enable tracker and directly provide object detector output: ```python # add object detector outputs: mot_frame.add_annotation( MotAnnotation(bbox=[x_min, y_min, width, height]) ) mot_frame.add_annotation( MotAnnotation(bbox=[x_min, y_min, width, height]) ) # add frame to video: mot_video.add_frame(mot_frame) # export in MOT challenge format by applying a kalman based tracker: mot_video.export(export_dir="mot_gt", type="gt", use_tracker=True) ``` - you can customize tracker while initializing mot video object: ```python tracker_params = { 'max_distance_between_points': 30, 'min_detection_threshold': 0, 'hit_inertia_min': 10, 'hit_inertia_max': 12, 'point_transience': 4, } # for details: https://github.com/tryolabs/norfair/tree/master/docs#arguments mot_video = MotVideo(tracker_kwargs=tracker_params) ``` - you can overwrite the results into already present directory by adding `exist_ok=True`: ```python mot_video.export(export_dir="mot_gt", type="gt", exist_ok=True) ```

documentation

update coco docs (#134)
add colab links into readme (#135)

Check YOLOv5 + SAHI demo:

Check MMDetection + SAHI demo:

bug fixes

fix demo notebooks (#136)

- Python
Published by fcakyon over 4 years ago

sahi - v0.4.5

enhancement

add colab demo support (#127)
add warning for image files without suffix (#129)
seperate mmdet/yolov5 utils (#130)

- Python
Published by fcakyon over 4 years ago

sahi - v0.4.4

new feature

add mot utils (#122) read mot utils doc for more detail

documentation

update installation (#118)
add details for coco2yolov5 usage (#120)

bug fixes

fix typo (#117)
update coco2yolov5.py (#115)

breaking changes

drop python 3.6 support (#123)

- Python
Published by fcakyon over 4 years ago

sahi - v0.4.3

refactorize postprocess (#109)

specify postprocess type as --postprocess_type UNIONMERGE or --postprocess_type NMS to be applied over sliced predictions
specify postprocess match metric as --match_metric IOS for intersection over smaller area or --match_metric IOU for intersection over union
specify postprocess match threshold as --match_thresh 0.5
add --class_agnostic argument to ignore category ids of the predictions during postprocess (merging/nms)

export visuals with gt (#107)

export visuals with predicted + gt annotations into visuals_with_gt folder when coco_file_path is provided
keep source folder structure when exporting results
add from_coco_annotation_dict classmethod to ObjectAnnotation
remove unused imports/classes/parameters
better typing hints

- Python
Published by fcakyon over 4 years ago

sahi - v0.4.2

add yolov5 support: check yolov5 demo notebook

CLI usage: bash python scripts/predict.py --model_type yolov5 --source image/file/or/folder --model_path path/to/model

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.19

refactorize slicing, faster coco indexing (#95)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.18

utilize ignorenegativesamples property (#90):

Filter out images that does not contain any annotation

```python from sahi.utils.coco import Coco

set ignorenegativesamples as False if you want images without annotations present in json and yolov5 exports

coco = Coco.fromcocodictorpath("coco.json", ignorenegativesamples=True) ```

fix typo in getareafiltered_coco (#89)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.17

improve .stats (#85):

```python from sahi.utils.coco import Coco

init Coco object

coco = Coco.fromcocodictorpath("coco.json")

get dataset stats

coco.stats { 'numimages': 6471, 'numannotations': 343204, 'numcategories': 2, 'numnegativeimages': 0, 'numimagespercategory': {'human': 5684, 'vehicle': 6323}, 'numannotationspercategory': {'human': 106396, 'vehicle': 236808}, 'minnumannotationsinimage': 1, 'maxnumannotationsinimage': 902, 'avgnumannotationsinimage': 53.037243084530985, 'minannotationarea': 3, 'maxannotationarea': 328640, 'avgannotationarea': 2448.405738278109, 'minannotationareapercategory': {'human': 3, 'vehicle': 3}, 'maxannotationareaper_category': {'human': 72670, 'vehicle': 328640}, }

```

add category based annotation area filtering (#86):

```python

filter out images with seperate area intervals per category

intervalspercategory = { "human": {"min": 20, "max": 10000}, "vehicle": {"min": 50, "max": 15000}, } areafilteredcoco = coco.getareafilteredcoco(intervalspercategory=intervalsper_category) ```

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.15

add getareafiltered_coco method to Coco class (#75):

```python from sahi.utils.coco import Coco from sahi.utils.file import save_json

init Coco objects by specifying coco dataset paths and image folder directories

coco = Coco.fromcocodictorpath("coco.json")

filter out images that contain annotations with smaller area than 50

areafilteredcoco = coco.getareafiltered_coco(min=50)

filter out images that contain annotations with smaller area than 50 and larger area than 10000

areafilteredcoco = coco.getareafiltered_coco(min=50, max=10000)

export filtered COCO dataset

savejson(areafilteredcoco.json, "areafiltered_coco.json") ```

faster yolov5 conversion with mp argument (#80): ```python

multiprocess support

if name == main: coco = Coco.fromcocodictorpath( "coco.json", imagedir="cocoimages/" mp=True ) coco.exportasyolov5( outputdir="output/folder/dir", trainsplit_rate=0.85, mp=True ) ```
update torch and mmdet versions in workflows (#79)
remove optional dependencies from conda (#78)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.14

add stats property for Coco class (#70)

```python from sahi.utils.coco import Coco

init Coco object

coco = Coco.fromcocodictorpath("coco.json")

get dataset stats

coco.stats { 'avgannotationarea': 2448.405738278109, 'avgnumannotationsinimage': 53.037243084530985, 'maxannotationarea': 328640, 'maxnumannotationsinimage': 902, 'minannotationarea': 3, 'minnumannotationsinimage': 1, 'numannotations': 343204, 'numannotationspercategory': { 'human': 106396, 'vehicle': 236808 }, 'numcategories': 2, 'numimages': 6471, 'numimagesper_category': { 'human': 5684, 'vehicle': 6323 } }

```

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.12

improve coco to yolov5 conversion (#68)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.11

fix coco subsampling and category updating (#64)
increase test coverage (#64)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.10

fix yolo export (#62)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.9

faster Coco merging and category updating (#59)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.8

increase coco split and yolo export speeds (#58)
reduce json export size (#57)
make multiprocess call optional (#55)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.7

faster coco dataset indexing (#53)
category remapping feature for coco datasets (#53)
fix exportasyolov5 paths (#52)

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.6

make some dependencies optional
fix some coco utils

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.5

add new coco utils. check COCO.md for example usages.
add slicing notebook.
fix some mmdet/numpy warnings.

- Python
Published by fcakyon almost 5 years ago

sahi - v0.3.4

add new coco utils (https://github.com/obss/sahi/pull/42). check here for example usages.

- Python
Published by fcakyon almost 5 years ago

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