Yolov5

This release aggregates various minor bug fixes and performance improvements since the main v3.0 release and incorporates PyTorch 1.7.0 compatibility updates. v3.1 models share weights with v3.0 models but contain minor module updates (`inplace` fields for nn.Hardswish() activations) for native PyTorch 1.7.0 compatibility. For PyTorch 1.7.0 release updates see https://github.com/pytorch/pytorch/releases/tag/v1.7.0.


Breaking Changes

- 'giou' hyperparameter has been renamed to 'box' to better reflect a criteria-agnostic regression loss term (https://github.com/ultralytics/yolov5/pull/1120)


Bug Fixes
- PyTorch 1.7 compatibility update. `torch>=1.6.0` required, `torch>=1.7.0` recommended (https://github.com/ultralytics/yolov5/pull/1233)
- GhostConv module bug fix (https://github.com/ultralytics/yolov5/pull/1176)
- Rectangular padding min stride bug fix from 64 to 32 (https://github.com/ultralytics/yolov5/pull/1165)
- Mosaic4 bug fix (https://github.com/ultralytics/yolov5/pull/1021)
- Logging directory runs/exp bug fix (https://github.com/ultralytics/yolov5/pull/978)
- Various additional

Added Functionality
- PyTorch Hub functionality with YOLOv5 .autoshape() method added (https://github.com/ultralytics/yolov5/pull/1210)
- Autolabelling addition and standardization across detect.py and test.py (https://github.com/ultralytics/yolov5/pull/1182)
- Precision-Recall Curve automatic plotting when testing (https://github.com/ultralytics/yolov5/pull/1107)
- Self-host VOC dataset for more reliable access and faster downloading (https://github.com/ultralytics/yolov5/pull/1077)
- Adding option to output autolabel confidence with --save-conf in test.py and detect.py (https://github.com/ultralytics/yolov5/pull/994)
- Google App Engine deployment option (https://github.com/ultralytics/yolov5/pull/964)
- Infinite Dataloader for faster training (https://github.com/ultralytics/yolov5/pull/876)
- Various additional

Model | AP^val | AP^test | AP₅₀ | Speed_GPU | FPS_GPU || params | FLOPS |
---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: |

- All checkpoints are trained to 90 epochs with SGD optimizer with `lr0=0.001` and `weight_decay=5e-5` at image size 224 and all default settings.<br>Runs logged to https://wandb.ai/glenn-jocher/YOLOv5-Classifier-v6-2
- **Accuracy** values are for single-model single-scale on [ImageNet-1k](https://www.image-net.org/index.php) dataset.<br>Reproduce by `python classify/val.py --data ../datasets/imagenet --img 224`
- **Speed** averaged over 100 inference images using a [Colab Pro](https://colab.research.google.com/signup) V100 High-RAM instance.<br>Reproduce by `python classify/val.py --data ../datasets/imagenet --img 224 --batch 1`
- **Export** to ONNX at FP32 and TensorRT at FP16 done with `export.py`. <br>Reproduce by `python export.py --weights yolov5s-cls.pt --include engine onnx --imgsz 224`

New Classification Model Usage Examples

Train
YOLOv5 classification training supports auto-download of MNIST, Fashion-MNIST, CIFAR10, CIFAR100, Imagenette, Imagewoof, and ImageNet datasets with the `--data` argument. To start training on MNIST for example use `--data mnist`.

bash
Single-GPU
python classify/train.py --model yolov5s-cls.pt --data cifar100 --epochs 5 --img 224 --batch 128

Multi-GPU DDP
python -m torch.distributed.run --nproc_per_node 4 --master_port 1 classify/train.py --model yolov5s-cls.pt --data imagenet --epochs 5 --img 224 --device 0,1,2,3


Val
Validate YOLOv5m-cls accuracy on ImageNet-1k dataset:
bash
bash data/scripts/get_imagenet.sh --val download ImageNet val split (6.3G, 50000 images)
python classify/val.py --weights yolov5m-cls.pt --data ../datasets/imagenet --img 224 validate


Predict
Use pretrained YOLOv5s-cls.pt to predict bus.jpg:
bash
python classify/predict.py --weights yolov5s-cls.pt --data data/images/bus.jpg

python
model = torch.hub.load('ultralytics/yolov5', 'custom', 'yolov5s-cls.pt') load from PyTorch Hub


Export
Export a group of trained YOLOv5s-cls, ResNet and EfficientNet models to ONNX and TensorRT:
bash
python export.py --weights yolov5s-cls.pt resnet50.pt efficientnet_b0.pt --include onnx engine --img 224


Changelog

- Changes between **previous release and this release**: https://github.com/ultralytics/yolov5/compare/v6.1...v6.2
- Changes **since this release**: https://github.com/ultralytics/yolov5/compare/v6.2...HEAD

<details>
<summary>🛠️ New Features and Bug Fixes (401)</summary>

* Pre-commit table fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6744
* Update tutorial.ipynb (2 CPUs, 12.7 GB RAM, 42.2/166.8 GB disk) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6767
* Update min warmup iterations from 1k to 100 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6768
* Default `OMP_NUM_THREADS=8` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6770
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6771
* Update hyp.VOC.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6772
* Fix export for 1-channel images by lcombaldieu in https://github.com/ultralytics/yolov5/pull/6780
* Update EMA decay `tau` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6769
* YOLOv5s6 params FLOPs fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6782
* Update PULL_REQUEST_TEMPLATE.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6783
* Update autoanchor.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6794
* Update sweep.yaml by lcombaldieu in https://github.com/ultralytics/yolov5/pull/6825
* AutoAnchor improved initialization robustness by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6854
* Add `*.ts` to `VID_FORMATS` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6859
* Update `--cache disk` deprecate `*_npy/` dirs by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6876
* Update yolov5s.yaml by vnekat in https://github.com/ultralytics/yolov5/pull/6865
* Default FP16 TensorRT export by DavidBaldsiefen in https://github.com/ultralytics/yolov5/pull/6798
* Bump actions/setup-python from 2 to 3 by dependabot in https://github.com/ultralytics/yolov5/pull/6880
* Bump actions/checkout from 2 to 3 by dependabot in https://github.com/ultralytics/yolov5/pull/6881
* Fix TRT `max_workspace_size` deprecation notice by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6856
* Update bytes to GB with bit shift by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6886
* Move `git_describe()` to general.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6918
* PyTorch 1.11.0 compatibility updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6932
* Optimize PyTorch 1.11.0 compatibility update by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6933
* Allow 3-point segments by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6938
* Fix PyTorch Hub export inference shapes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6949
* DetectMultiBackend() `--half` handling by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6945
* Update Dockerfile `torch==1.11.0+cu113` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6954
* New val.py `cuda` variable by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6957
* DetectMultiBackend() return `device` update by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6958
* Tensor initialization on device improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6959
* EdgeTPU optimizations by paradigmn in https://github.com/ultralytics/yolov5/pull/6808
* Model `ema` key backward compatibility fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6972
* YOLOv5 Export Benchmarks for GPU by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6963
* Update TQDM bar format by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6988
* Conditional `Timeout()` by OS (disable on Windows) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7013
* fix: add default PIL font as fallback by maxstrobel in https://github.com/ultralytics/yolov5/pull/7010
* Consistent saved_model output format by MrinalJain17 in https://github.com/ultralytics/yolov5/pull/7032
* `ComputeLoss()` indexing/speed improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7048
* Update Dockerfile to `git clone` instead of `COPY` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7053
* Create SECURITY.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7054
* Fix incomplete URL substring sanitation by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7056
* Use PIL to eliminate chroma subsampling in crops by LaserBorg in https://github.com/ultralytics/yolov5/pull/7008
* Fix `check_anchor_order()` in pixel-space not grid-space by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7060
* Update detect.py non-inplace with `y.tensor_split()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7062
* Update common.py lists for tuples by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7063
* Update W&B message to `LOGGER.info()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7064
* Update __init__.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7065
* Add non-zero `da` `check_anchor_order()` condition by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7066
* Fix2 `check_anchor_order()` in pixel-space not grid-space by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7067
* Revert "Update detect.py non-inplace with `y.tensor_split()`" by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7074
* Update loss.py with `if self.gr < 1:` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7087
* Update loss for FP16 `tobj` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7088
* Display model name in model summary by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7101
* `torch.split()` 1.7.0 compatibility fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7102
* Update benchmarks significant digits by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7103
* Model summary `pathlib` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7104
* Remove named arguments where possible by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7105
* Multi-threaded VisDrone and VOC downloads by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7108
* `np.fromfile()` Chinese image paths fix by yeshanliu in https://github.com/ultralytics/yolov5/pull/6979
* Add PyTorch Hub `results.save(labels=False)` option by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7129
* Fix `cv2.imwrite` on non-ASCII paths by CCRcmcpe in https://github.com/ultralytics/yolov5/pull/7139
* Fix `detect.py --view-img` for non-ASCII paths by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7093
* Add Architecture Summary to README Tutorials by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7146
* Adjust NMS time limit warning to batch size by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7156
* Sidestep `os.path.relpath()` Windows bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7158
* NMS unused variable fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7161
* `yolo.py --profile` updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7170
* Revert `C3()` change by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7172
* Bump actions/cache from 2.1.7 to 3 by dependabot in https://github.com/ultralytics/yolov5/pull/7175
* yolo.py profiling updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7178
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7212
* `ENV OMP_NUM_THREADS=8` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7215
* Add train.py `--name cfg` option by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7202
* precommit: yapf by Borda in https://github.com/ultralytics/yolov5/pull/5494
* CLI `fire` prep updates by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7229
* Update .pre-commit-config.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7230
* SavedModel TF Serve Fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7228
* Create CODE_OF_CONDUCT.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7233
* Fix `www.youtube.com` hostname by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7242
* Update minimum Python>=3.7.0 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7247
* Update setup.cfg to `description_file` field by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7248
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7254
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7255
* Fix Flask REST API by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7210
* Export with official `nn.SiLU()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7256
* Refactor out-of-place `Detect()` for reduced ops by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7257
* `torch.split()` replace slicing on out-of-place inference by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7258
* Export single output only by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7259
* TorchScript single-output fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7261
* Integrate offset into grid by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7262
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/7279
* Update Dockerfile by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7282
* Enable TensorFlow ops for `--nms` and `--agnostic-nms` by leeflix in https://github.com/ultralytics/yolov5/pull/7281
* Update `cv2.imread()` patch with flags argument by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7287
* Context manager `open(file) as f` fixes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7289
* val.py `--weights` and `--data` compatibility check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7292
* Add dataset sizes (zipped) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7293
* Add `check_requirements(('pycocotools>=2.0',))` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7295
* fix: disable usage of root logger by maxstrobel in https://github.com/ultralytics/yolov5/pull/7296
* Update export.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7301
* Use `tqdm.auto` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7311
* Add `retry=3` to `download()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7313
* Add callbacks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7315
* Copy wandb param dict before training to avoid overwrites. by n1mmy in https://github.com/ultralytics/yolov5/pull/7317
* Update Objects365.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7323
* Fix TF export for BottleneckCSP layer by nrupatunga in https://github.com/ultralytics/yolov5/pull/7330
* Objects365 images GB vs zips GB by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7335
* Simplify callbacks.py return by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7333
* Print dataset scan only `if RANK in (-1, 0)` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7337
* Update `_make_grid()` to model `dtype` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7346
* Rename 'MacOS' to 'macOS' by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7349
* Add `python benchmarks.py --test` for export-only by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7350
* Add ONNX export metadata by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7353
* DetectMultiBackend() default `stride=32` by rglkt in https://github.com/ultralytics/yolov5/pull/7342
* Loss and IoU speed improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7361
* Swap `unsafe_chunk()` for `chunk()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7362
* Delete FUNDING.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7363
* Replace Slack with Community Forum in issues by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7364
* Update ci-testing.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7365
* Bump actions/stale from 4 to 5 by dependabot in https://github.com/ultralytics/yolov5/pull/7371
* Update optimizer param group strategy by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7376
* Add support for different normalization layers by vardanagarwal in https://github.com/ultralytics/yolov5/pull/7377
* Dynamic normalization layer selection by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7392
* Add version warning for wandb by AyushExel in https://github.com/ultralytics/yolov5/pull/7385
* Remove OpenVINO ONNX `opset<=12` check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7398
* Fix EdgeTPU output directory by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7399
* Update `git_describe()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7402
* Remove `tensorrt` pip install check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7439
* Disable `pbar` for DDP ranks > 0 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7440
* Add `--half` support for FP16 CoreML exports with by Cedric-Perauer in https://github.com/ultralytics/yolov5/pull/7446
* Bump cirrus-actions/rebase from 1.5 to 1.6 by dependabot in https://github.com/ultralytics/yolov5/pull/7462
* Update val.py by HERIUN in https://github.com/ultralytics/yolov5/pull/7478
* Improved non-latin `Annotator()` plotting by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7488
* `check_fonts()` download to `CONFIG_DIR` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7489
* Fix val.py Ensemble() by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7490
* Added `YOLOv5_AUTOINSTALL` environment variable by jkocherhans in https://github.com/ultralytics/yolov5/pull/7505
* Refactor Dockerfiles to `utils/docker` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7510
* Add yesqa to precommit checks by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7511
* Fix val `plots=plots` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7524
* Reduce val device transfers by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7525
* Add Docker `--file` argument to build by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7527
* Empty val batch CUDA device fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7539
* Autoinstall TensorRT if missing by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7537
* Add mdformat to precommit checks and update other version by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/7529
* Update precommit monthly python 3.7+ by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7542
* Update downloads.py current release by Powercube7 in https://github.com/ultralytics/yolov5/pull/7541
* Update check_requirements() with `cmds=()` argument by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7543
* Add `--noplots` flag to suppress figures and images logging by AyushExel in https://github.com/ultralytics/yolov5/pull/7534
* Improve availability of YOLOv5 in Russia by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7545
* Update restapi.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7309
* Restrict TRT autoinstall to Linux-only by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7549
* PyTorch Hub `_verbose=False` fix2 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7550
* Enable `results.print()` when `_verbose=False` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7558
* Add `print(results)` override for PyTorch Hub results by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7559
* TensorRT PyTorch Hub inference fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7560
* Add PyTorch-only benchmark arg by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7564
* Fix `from yolov5 import utils` statement by Jack24658735 in https://github.com/ultralytics/yolov5/pull/7578
* Remove `tqdm.auto` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7599
* Add `--half` support for OpenVINO exports by djmmoss in https://github.com/ultralytics/yolov5/pull/7615
* `increment_path()` robustness improvements by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7628
* Reduce `opencv-python>=4.1.1` for Jetson Nano by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7645
* Bump `scipy>=1.5` to meet numpy constraints by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7646
* Update plot.py by sylvanding in https://github.com/ultralytics/yolov5/pull/7654
* Bump github/codeql-action from 1 to 2 by dependabot in https://github.com/ultralytics/yolov5/pull/7665
* Disallow `--dynamic` when `--half` is passed by dmatos2012 in https://github.com/ultralytics/yolov5/pull/7669
* Update Dockerfile-cpu to force python3.9 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7675
* Pin Docker-cpu `FROM ubuntu:20.04` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7677
* FROM nvcr.io/nvidia/pytorch:22.04-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7680
* Update README.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7686
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7715
* Update `on_train_end` callback by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7716
* Report fused model summary by default by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7722
* Ability to download older assets by CristiFati in https://github.com/ultralytics/yolov5/pull/7767
* Pin downloads to release version by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7790
* Implement DDP `static_graph=True` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/6940
* Add smoothing to curve plots and max F1 index by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7798
* Add Dockerfile-M1 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7720
* Add random interpolation method augmentation by developer0hye in https://github.com/ultralytics/yolov5/pull/6826
* Rename `utils/datasets.py` -> `utils/dataloaders.py` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7799
* Add `threaded` decorator by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7813
* Add Python version output by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7814
* Refactor collections and fstrings by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7821
* Refactor modules by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7823
* YOLOv5 OpenVINO PyTorch Hub inference fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7826
* New TensorFlow `TFDWConv()` module by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7824
* Bump cirrus-actions/rebase from 1.6 to 1.7 by dependabot in https://github.com/ultralytics/yolov5/pull/7831
* New TensorFlow `TFCrossConv()` module by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7827
* Fix TFDWConv() `c1 == c2` check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7842
* Replace `openvino-dev` with OpenVINO Runtime inference by GabrielDornelles in https://github.com/ultralytics/yolov5/pull/7843
* TFDWConv() `depthwise_initializer` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7845
* Update Dockerfile `--no-install-recommends` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7846
* Update CI CPU badge by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7855
* Create docker.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7856
* Update Dockerfile-cpu install `libpython3.8-dev` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7857
* Add TFDWConv() `depth_multiplier` arg by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7858
* Update Dockerfile-arm64 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7860
* Invert Docker Image publishing order by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7877
* Removed shell=True from subprocess commands that require user inputs by JWLee89 in https://github.com/ultralytics/yolov5/pull/7875
* Added Windows cmd to count GPU devices by xylieong in https://github.com/ultralytics/yolov5/pull/7891
* Bug fix mAP0.5-0.95 by lebedevdes in https://github.com/ultralytics/yolov5/pull/6787
* `cv2.resize` interpolation fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7903
* Add `DWConvTranspose2d()` module by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7881
* Add `check_yaml()` to benchmarks.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7916
* Add `--keras` argument for TF exports by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7921
* Add PyTorch AMP check by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7917
* Code refactor by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7923
* AMP check image download backup by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7936
* Fix AMP check tolerance by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7937
* Windows `check_file()` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7938
* Add OpenVINO metadata to export by xylieong in https://github.com/ultralytics/yolov5/pull/7947
* OpenVINO metadata fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7952
* OpenVINO metadata fix2 by xylieong in https://github.com/ultralytics/yolov5/pull/7954
* YOLOv5 Apple Metal Performance Shader (MPS) support by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7878
* Increase NMS time limit to 50 ms/img by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7956
* Increase NMS fixed time limit 300ms + 30ms/img by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7957
* AMP check improvements backup YOLOv5n pretrained by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7959
* Update greetings.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7965
* Update requirements.txt with Usage example by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7966
* Remove `formats` variable to avoid `pd` conflict by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7993
* `check_requirements()` Windows fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7997
* Add `psutil` and `ipython` to requirements.txt by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7998
* cURL download double quotes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7999
* Update and add benchmarks to ci-testing.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/7996
* Add warning emoji ⚠️ on `--conf > 0.001` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8005
* Update CI benchmarks to ONNX autoinstall by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8008
* Pin CI `protobuf==3.20.1` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8015
* `check_requirements()` "" Windows double quote by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8016
* Add requirements.txt `protobuf<=3.20.1` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8017
* Add best.pt PyTorch Hub inference to CI by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8024
* Add Dockerfile descriptions by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8031
* Simplify and fix `--save-period` epoch 0 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8042
* `.detach()` on bias init by tcmyxc in https://github.com/ultralytics/yolov5/pull/8044
* `attempt_load()` deserialize fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8051
* Fix FP32 TensorRT model export by SahilChachra in https://github.com/ultralytics/yolov5/pull/8046
* Make Docker actions conditional on `ultralytics/yolov5` repo by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8060
* Update stale.yml to 300 ops per run by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8061
* Fix torch `long` to `float` tensor on HUB macOS by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8067
* Improved dataset error introspection by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8091
* experimental.py Apple MPS device fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8121
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/8119
* fix(utils): missing edge when resample segments by HRan2004 in https://github.com/ultralytics/yolov5/pull/8092
* AutoBatch checks against failed solutions by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8159
* FROM nvcr.io/nvidia/pytorch:22.05-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8162
* Docker GPU pip install `opencv-python<4.6.0.66` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8164
* Improved `dataset_stats()` YAML checks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8125
* Bump actions/setup-python from 3 to 4 by dependabot in https://github.com/ultralytics/yolov5/pull/8186
* Reject webcam inference on Colab/Kaggle by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8209
* Remove streaming source sleep period by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8243
* Prefer MPS over CPU if available by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8210
* HUB dataset_stats() error reporting by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8192
* `process_batch()` as numpy arrays by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8254
* Created using Colaboratory by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8255
* `logging.ERROR` on `RANK` not in (0, 1) by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8284
* `device_name="MYRIAD" for Intel NCS2` comment by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8327
* Allow preview resize in detect.py by RyanHir in https://github.com/ultralytics/yolov5/pull/8318
* Create README_cn.md by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8344
* Allow detect.py to use video size for initial window size by NicholasZolton in https://github.com/ultralytics/yolov5/pull/8330
* Revamp Chinese docs by zhiqwang in https://github.com/ultralytics/yolov5/pull/8350
* Fix bias warmup LR init by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8356
* Add File Size (MB) column to benchmarks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8359
* Update protobuf requirement from <=3.20.1 to <4.21.3 by dependabot in https://github.com/ultralytics/yolov5/pull/8346
* Fix ONNX `--dynamic` export on GPU by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8378
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8380
* Implementation of Early Stopping for DDP training by giacomoguiduzzi in https://github.com/ultralytics/yolov5/pull/8345
* Improve `--local_rank` arg comment by pourmand1376 in https://github.com/ultralytics/yolov5/pull/8409
* Update cache comments by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8414
* TRT `--half` fix autocast images to FP16 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8435
* Expose OpenVINO `batch_size` similarly to TensorRT by democat3457 in https://github.com/ultralytics/yolov5/pull/8437
* Do not prefer Apple MPS by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8446
* Update stale.yml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8465
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/8470
* Exclude torch==1.12.0, torchvision==0.13.0 (Fix 8395) by mjun0812 in https://github.com/ultralytics/yolov5/pull/8497
* Update tutorial.ipynb by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8507
* Training reproducibility improvements by AyushExel in https://github.com/ultralytics/yolov5/pull/8213
* Revert "Expose OpenVINO `batch_size` similarly to TensorRT" by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8510
* Avoid FP64 ops for MPS support in train.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8511
* Fix ap calculation bug 8464 by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8484
* Add `--hard-fail` argument to benchmarks for CI errors by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8513
* Simplify benchmarks.py assertions by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8515
* Properly expose `batch_size` from OpenVINO similarly to TensorRT by democat3457 in https://github.com/ultralytics/yolov5/pull/8514
* Add `--half` arguments to export.py Usage examples by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8516
* XML export `--half` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8522
* Fix `LoadImages()` with dataset YAML lists by democat3457 in https://github.com/ultralytics/yolov5/pull/8517
* val.py `assert ncm == nc` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8545
* CIoU protected divides by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8546
* Update metrics.py with IoU protected divides by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8550
* Add TensorRT dependencies by Zengyf-CVer in https://github.com/ultralytics/yolov5/pull/8553
* Add `thop>=0.1.0` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8558
* Raise error on suffix-less model path by democat3457 in https://github.com/ultralytics/yolov5/pull/8561
* Assert `--optimize` not used with cuda device by democat3457 in https://github.com/ultralytics/yolov5/pull/8569
* Update requirements.txt comment spacing by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8562
* Explicitly set `weight_decay` value by developer0hye in https://github.com/ultralytics/yolov5/pull/8592
* Update `scipy>=1.7.3` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8595
* Update `tqdm>=4.64.0` and `thop>=0.1.1` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8596
* Add `pip install wheel` to avoid legacy `setup.py install` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8597
* Link fuse() to AutoShape() for Hub models by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8599
* FROM nvcr.io/nvidia/pytorch:22.06-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8600
* Refactor optimizer initialization by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8607
* assert torch!=1.12.0 for DDP training by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8621
* Fix `OMP_NUM_THREADS=1` for macOS by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8624
* Upgrade onnxsim to v0.4.1 by daquexian in https://github.com/ultralytics/yolov5/pull/8632
* Check TensorBoard logger before adding graph by JarnoRFB in https://github.com/ultralytics/yolov5/pull/8664
* Use contextlib's suppress method to silence an error by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8668
* Update hubconf.py to reset LOGGER.level after load by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8674
* Update warning emojis by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8678
* Update hubconf.py to reset logging level to INFO by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8680
* Add generator and worker seed by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8602
* Set `torch.cuda.manual_seed_all()` for DDP by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8688
* Move .dockerignore to root by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8690
* Faster crop saving by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8696
* Remove `else:` from load_image() by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8692
* Avoid cv2 window init code on Windows by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8712
* Update dataloaders.py by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8714
* New `HUBDatasetStats()` class by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8716
* Fix BGR->RGB Bug in albumentations 8641 by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8695
* coremltools>=5.2 for CoreML export by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8725
* Revert "Fix BGR->RGB Bug in albumentations 8641" by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8727
* fix: broken ``is_docker`` check by maxstrobel in https://github.com/ultralytics/yolov5/pull/8711
* Revert protobuf<=3.20.1 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8742
* Dynamic batch size support for TensorRT by democat3457 in https://github.com/ultralytics/yolov5/pull/8526
* Fix confusion matrix update when no predictions are made by jbutle55 in https://github.com/ultralytics/yolov5/pull/8748
* Add val.py no label warning by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8782
* Fix `detect.py --update` list bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8783
* ci-testing.yml Windows-friendly ENV variables by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8794
* Add hubconf.py argparser by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8799
* Print hubconf.py args by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8800
* Update Colab Notebook CI by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8798
* Deprecate torch 1.6.0 `compat _non_persistent_buffers_set` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8797
* `Detect.inplace=False` for multithread-safe inference by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8801
* Update train.py for `val.run(half=amp)` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8804
* Fix val.py 'no labels found bug' by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8806
* Update requirements.txt with tf-cpu and tf-aarch64 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8807
* FROM nvcr.io/nvidia/pytorch:22.07-py3 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8808
* Update ci-testing.yml streamlined tests by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8809
* Check git status on upstream `ultralytics` or `origin` dynamically by pourmand1376 in https://github.com/ultralytics/yolov5/pull/8694
* Fix Colab-update pre-commit EOF bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8810
* Update .pre-commit-config.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8811
* Update .pre-commit-config.yaml by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8812
* Remove `assert not is_docker()` from GitHub checks by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8813
* Add .git to .dockerignore by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8815
* Add tensor hooks and 10.0 gradient clipping by UnglvKitDe in https://github.com/ultralytics/yolov5/pull/8598
* Update README.md with contributors.png by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8820
* Remove hook `torch.nan_to_num(x)` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8826
* RUN git clone instead of COPY to `/usr/src/app` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8827
* [pre-commit.ci] pre-commit suggestions by pre-commit-ci in https://github.com/ultralytics/yolov5/pull/8828
* Fix missing attr model.model when loading custom yolov model by jacksonargo in https://github.com/ultralytics/yolov5/pull/8830
* New `smart_resume()` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8838
* Self-contained checkpoint `--resume` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8839
* Add check_file(data) i.e. `--data coco128.yaml` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8851
* export.py replace `check_file` -> `check_yaml` by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8852
* Update dataloaders.py remove `float64` shapes by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8865
* Fix TensorRT --dynamic excess outputs bug by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8869
* Single-line TRT dynamic assertion by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8871
* HUBDatasetStats() preview images to 50 quality by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8880
* `--resume` training from URL weights by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8882
* `--resume` training from URL weights fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8884
* Update CI to default Python 3.10 by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8883
* ClearML experiment tracking integration by thepycoder in https://github.com/ultralytics/yolov5/pull/8620
* `smart_optimizer()` improved reporting by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8887
* emoji-safe default logging by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8888
* Fix/improve social media bar by kalenmike in https://github.com/ultralytics/yolov5/pull/8893
* Update README.md Environments icons by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8895
* Fix anchor incorrectly initialized by YellowAndGreen in https://github.com/ultralytics/yolov5/pull/8891
* Edge TPU add `--search_delegate` fix by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8902
* Capitalize YouTube by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8903
* About "os.R_OK" in general.py by 19190205wzy in https://github.com/ultralytics/yolov5/pull/8909
* Scope `torchvision.utils.draw_bounding_boxes` import by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8915
* Add `torch==1.7.0` to CI tests by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8916
* Direct download table links by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8917
* Fix `--source 'path/*.jpg'` glob example by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8927
* Deci.ai optimization and deployment Integration by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8928
* Allow train to use zipped content by kalenmike in https://github.com/ultralytics/yolov5/pull/8940
* Remove DDP `destroy_process_group()` on train end by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8935
* GFLOPs computation fix for classification models by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8954
* New `smart_inference_mode()` conditional decorator by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8957
* Fix windows LOGGER with emojis output by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8958
* Add bash script arguments by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8962
* Add `.tar` support for datasets by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8963
* Allow multiple-model serving from Flask REST API by mpromonet in https://github.com/ultralytics/yolov5/pull/8973
* Colab and Kaggle loggers removeHandler by glenn-jocher in https://github.com/ultralytics/yolov5/pull/8985
* Fix bug with resume by savchenkoyana in https://github.com/ultralytics/yolov5/pull/8912

</details>

<details>
<summary>😃 New Contributors (41)</summary>

* lcombaldieu made their first contribution in https://github.com/ultralytics/yolov5/pull/6780
* vnekat made their first contribution in https://github.com/ultralytics/yolov5/pull/6865
* DavidBaldsiefen made their first contribution in https://github.com/ultralytics/yolov5/pull/6798
* paradigmn made their first contribution in https://github.com/ultralytics/yolov5/pull/6808
* maxstrobel made their first contribution in https://github.com/ultralytics/yolov5/pull/7010
* LaserBorg made their first contribution in https://github.com/ultralytics/yolov5/pull/7008
* yeshanliu made their first contribution in https://github.com/ultralytics/yolov5/pull/6979
* CCRcmcpe made their first contribution in https://github.com/ultralytics/yolov5/pull/7139
* leeflix made their first contribution in https://github.com/ultralytics/yolov5/pull/7281
* n1mmy made their first contribution in https://github.com/ultralytics/yolov5/pull/7317
* rglkt made their first contribution in https://github.com/ultralytics/yolov5/pull/7342
* vardanagarwal made their first contribution in https://github.com/ultralytics/yolov5/pull/7377
* Cedric-Perauer made their first contribution in https://github.com/ultralytics/yolov5/pull/7446
* HERIUN made their first contribution in https://github.com/ultralytics/yolov5/pull/7478
* jkocherhans made their first contribution in https://github.com/ultralytics/yolov5/pull/7505
* Powercube7 made their first contribution in https://github.com/ultralytics/yolov5/pull/7541
* Jack24658735 made their first contribution in https://github.com/ultralytics/yolov5/pull/7578
* djmmoss made their first contribution in https://github.com/ultralytics/yolov5/pull/7615
* sylvanding made their first contribution in https://github.com/ultralytics/yolov5/pull/7654
* dmatos2012 made their first contribution in https://github.com/ultralytics/yolov5/pull/7669
* GabrielDornelles made their first contribution in https://github.com/ultralytics/yolov5/pull/7843
* JWLee89 made their first contribution in https://github.com/ultralytics/yolov5/pull/7875
* xylieong made their first contribution in https://github.com/ultralytics/yolov5/pull/7891
* lebedevdes made their first contribution in https://github.com/ultralytics/yolov5/pull/6787
* tcmyxc made their first contribution in https://github.com/ultralytics/yolov5/pull/8044
* SahilChachra made their first contribution in https://github.com/ultralytics/yolov5/pull/8046
* HRan2004 made their first contribution in https://github.com/ultralytics/yolov5/pull/8092
* RyanHir made their first contribution in https://github.com/ultralytics/yolov5/pull/8318
* NicholasZolton made their first contribution in https://github.com/ultralytics/yolov5/pull/8330
* giacomoguiduzzi made their first contribution in https://github.com/ultralytics/yolov5/pull/8345
* pourmand1376 made their first contribution in https://github.com/ultralytics/yolov5/pull/8409
* democat3457 made their first contribution in https://github.com/ultralytics/yolov5/pull/8437
* mjun0812 made their first contribution in https://github.com/ultralytics/yolov5/pull/8497
* UnglvKitDe made their first contribution in https://github.com/ultralytics/yolov5/pull/8484
* daquexian made their first contribution in https://github.com/ultralytics/yolov5/pull/8632
* JarnoRFB made their first contribution in https://github.com/ultralytics/yolov5/pull/8664
* jbutle55 made their first contribution in https://github.com/ultralytics/yolov5/pull/8748
* jacksonargo made their first contribution in https://github.com/ultralytics/yolov5/pull/8830
* thepycoder made their first contribution in https://github.com/ultralytics/yolov5/pull/8620
* YellowAndGreen made their first contribution in https://github.com/ultralytics/yolov5/pull/8891
* 19190205wzy made their first contribution in https://github.com/ultralytics/yolov5/pull/8909
* mpromonet made their first contribution in https://github.com/ultralytics/yolov5/pull/8973
* savchenkoyana made their first contribution in https://github.com/ultralytics/yolov5/pull/8912

</details>

bash
git clone https://github.com/ultralytics/yolov5 # clone repo
cd yolov5
git reset --hard 5e970d4 last commit before v2.0


Bug Fixes
- Various

Added Functionality
- Various

<img src="https://user-images.githubusercontent.com/26833433/85340570-30360a80-b49b-11ea-87cf-bdf33d53ae15.png" width="800">
** GPU Speed measures end-to-end time per image averaged over 5000 COCO val2017 images using a V100 GPU with batch size 8, and includes image preprocessing, PyTorch FP16 inference, postprocessing and NMS.
<br/><br/>


- **July 23, 2020**: [v2.0 release](https://github.com/ultralytics/yolov5/releases/tag/v2.0): improved model definition, training and mAP.
- **June 22, 2020**: [PANet](https://arxiv.org/abs/1803.01534) updates: new heads, reduced parameters, improved speed and mAP [364fcfd](https://github.com/ultralytics/yolov5/commit/364fcfd7dba53f46edd4f04c037a039c0a287972).
- **June 19, 2020**: [FP16](https://pytorch.org/docs/stable/nn.html#torch.nn.Module.half) as new default for smaller checkpoints and faster inference [d4c6674](https://github.com/ultralytics/yolov5/commit/d4c6674c98e19df4c40e33a777610a18d1961145).
- **June 9, 2020**: [CSP](https://github.com/WongKinYiu/CrossStagePartialNetworks) updates: improved speed, size, and accuracy (credit to WongKinYiu for CSP).
- **May 27, 2020**: Public release. YOLOv5 models are SOTA among all known YOLO implementations.
- **April 1, 2020**: Start development of future compound-scaled [YOLOv3](https://github.com/ultralytics/yolov3)/[YOLOv4](https://github.com/AlexeyAB/darknet)-based PyTorch models.


Pretrained Checkpoints

| Model | AP^val | AP^test | AP₅₀ | Speed_GPU | FPS_GPU || params | FLOPS |
|---------- |------ |------ |------ | -------- | ------| ------ |------ | :------: |