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Author SHA1 Message Date
Glenn Jocher f5b8f7d54c
YOLOv5 v5.0 Release (#2762) 2021-04-11 19:23:47 +02:00
Ben Milanko e2b7bc0b32
YouTube Livestream Detection (#2752) 
* Youtube livestream detection

* dependancy update to auto install pafy

* Remove print

* include youtube_dl in deps

* PEP8 reformat

* youtube url check fix

* reduce lines

* add comment

* update check_requirements

* stream framerate fix

* Update README.md

* cleanup

* PEP8

* remove cap.retrieve() failure code

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-04-11 18:53:40 +02:00
Glenn Jocher 9029759cb3 Created using Colaboratory 2021-04-11 16:28:32 +02:00
Glenn Jocher 6dd1083bbb
Tensorboard model visualization bug fix (#2758) 
This fix should allow for visualizing YOLOv5 model graphs correctly in Tensorboard by uncommenting line 335 in train.py:
```python
                    if tb_writer:
                        tb_writer.add_graph(torch.jit.trace(model, imgs, strict=False), [])  # add model graph
```

The problem was that the detect() layer checks the input size to adapt the grid if required, and tracing does not seem to like this shape check (even if the shape is fine and no grid recomputation is required). The following will warn:
0cae7576a9/train.py (L335)

Solution is below. This is a YOLOv5s model displayed in TensorBoard. You can see the Detect() layer merging the 3 layers into a single output for example, and everything appears to work and visualize correctly.
```python
tb_writer.add_graph(torch.jit.trace(model, imgs, strict=False), [])
```
<img width="893" alt="Screenshot 2021-04-11 at 01 10 09" src="https://user-images.githubusercontent.com/26833433/114286928-349bd600-9a63-11eb-941f-7139ee6cd602.png">
 2021-04-11 01:33:55 +02:00
Glenn Jocher 0cae7576a9
utils/wandb_logging PEP8 reformat (#2755) 
* wandb_logging PEP8 reformat

* Update wandb_utils.py
 2021-04-10 21:09:23 +02:00
Glenn Jocher b5de52c4cd
torch.cuda.amp bug fix (#2750) 
PR https://github.com/ultralytics/yolov5/pull/2725 introduced a very specific bug that only affects multi-GPU trainings. Apparently the cause was using the torch.cuda.amp decorator in the autoShape forward method. I've implemented amp more traditionally in this PR, and the bug is resolved.
 2021-04-09 18:19:49 +02:00
Glenn Jocher fca5e2a48f
autocast enable=torch.cuda.is_available() (#2748) 2021-04-09 13:34:49 +02:00
Glenn Jocher c03d590320
Add Hub results.pandas() method (#2725) 
* Add Hub results.pandas() method

New method converts results from torch tensors to pandas DataFrames with column names.

This PR may partially resolve issue https://github.com/ultralytics/yolov5/issues/2703

```python
results = model(imgs)

print(results.pandas().xyxy[0])
         xmin        ymin        xmax        ymax  confidence  class    name
0   57.068970  391.770599  241.383545  905.797852    0.868964      0  person
1  667.661255  399.303589  810.000000  881.396667    0.851888      0  person
2  222.878387  414.774231  343.804474  857.825073    0.838376      0  person
3    4.205386  234.447678  803.739136  750.023376    0.658006      5     bus
4    0.000000  550.596008   76.681190  878.669922    0.450596      0  person
```

* Update comments 

torch example input now shown resized to size=640 and also now a multiple of P6 stride 64 (see https://github.com/ultralytics/yolov5/issues/2722#issuecomment-814785930)

* apply decorators

* PEP8

* Update common.py

* pd.options.display.max_columns = 10

* Update common.py
 2021-04-07 16:28:07 +02:00
Glenn Jocher c8c8da6079
Update README with collapsable notes (#2721) 
* Update README with collapsable notes.

* cleanup

* center table
 2021-04-06 17:54:47 +02:00
Ayush Chaurasia 3067429307
Add support for list-of-directory data format for wandb (#2719) 2021-04-06 16:57:13 +02:00
Glenn Jocher ec8979f1d2
Updated filename attributes for YOLOv5 Hub BytesIO (#2718) 
Fix 2 for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702
 2021-04-06 13:18:56 +02:00
Glenn Jocher 74276d5189
Updated filename attributes for YOLOv5 Hub results (#2708) 
Proposed fix for 'Model predict with forward will fail if PIL image does not have filename attribute' #2702
 2021-04-05 22:20:09 +02:00
Glenn Jocher 9ccfa85249
pip install coremltools onnx (#2690) 
Requested in https://github.com/ultralytics/yolov5/issues/2686
 2021-04-02 13:00:46 +02:00
Glenn Jocher 17300a4c7b
autoShape forward im = np.asarray(im) # to numpy (#2689) 
Slight speedup.
 2021-04-02 12:36:38 +02:00
Glenn Jocher 2af059c0d8
PyTorch Hub model.save() increment as runs/hub/exp (#2684) 
* PyTorch Hub model.save() increment as runs/hub/exp

This chane will align PyTorch Hub results saving with the existing unified results saving directory structure of

runs/
  /train
  /detect
  /test
  /hub
    /exp
    /exp2
    ...

* cleanup
 2021-04-02 11:55:10 +02:00
Ayush Chaurasia 514ebcdf33
Fix: #2674 (#2683) 
* Set resume flag to false

* Check existance of val dataset
 2021-04-02 11:54:50 +02:00
Ding Yiwei 1148e2ea63
Add TransformerLayer, TransformerBlock, C3TR modules (#2333) 
* yolotr

* transformer block

* Remove bias in Transformer

* Remove C3T

* Remove a deprecated class

* put the 2nd LayerNorm into the 2nd residual block

* move example model to models/hub, rename to -transformer

* Add module comments and TODOs

* Remove LN in Transformer

* Add comments for Transformer

* Solve the problem of MA with DDP

* cleanup

* cleanup find_unused_parameters

* PEP8 reformat

Co-authored-by: DingYiwei <846414640@qq.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-04-01 17:26:53 +02:00
Glenn Jocher b8b862993d
Update README with Tips for Best Results tutorial (#2682) 
* Update README with Tips for Best Results tutorial

* Update README.md
 2021-04-01 15:01:00 +02:00
Glenn Jocher 877b826e3a Created using Colaboratory 2021-04-01 11:31:27 +02:00
Glenn Jocher 51cc0962b5
Update README.md 2021-04-01 11:16:56 +02:00
Ayush Chaurasia 2a28ef374b
Set resume flag to false (#2657) 2021-03-31 13:47:54 +02:00
Glenn Jocher 1b475c1797 Created using Colaboratory 2021-03-30 20:07:18 +02:00
Phat Tran 9c803f2f7e
Add --label-smoothing eps argument to train.py (default 0.0) (#2344) 
* Add label smoothing option

* Correct data type

* add_log

* Remove log

* Add log

* Update loss.py

remove comment (too versbose)

Co-authored-by: phattran <phat.tranhoang@cyberlogitec.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-03-29 18:45:46 +02:00
Benjamin Fineran fd1679975b
add option to disable half precision in test.py (#2507) 
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-03-29 17:15:26 +02:00
Youngjin Shin 7cdc5165a1
Update requirements.txt (#2564) 
* Add opencv-contrib-python to requirements.txt

* Update requirements.txt

Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
 2021-03-29 17:05:52 +02:00
Glenn Jocher 1b100cd53e Created using Colaboratory (#2649) 2021-03-29 16:43:37 +02:00
Glenn Jocher 866bc7d640
Speed profiling improvements (#2648) 
* Speed profiling improvements

* Update torch_utils.py

deepcopy() required to avoid adding elements to model.

* Update torch_utils.py
 2021-03-29 15:19:07 +02:00
zzttqu 1e8ab3f5f2
Add tqdm pbar.close() (#2644) 
When using tqdm, sometimes it can't print in one line and roll to next line.
 2021-03-29 12:21:25 +02:00
Glenn Jocher 2bf34f50fd
PyTorch Hub amp.autocast() inference (#2641) 
I think this should help speed up CUDA inference, as currently models may be running in FP32 inference mode on CUDA devices unnecesarily.
 2021-03-28 20:23:40 +02:00
Glenn Jocher ee169834bd
PyTorch Hub custom model to CUDA device fix (#2636) 
Fix for #2630 raised by @Pro100rus32
 2021-03-28 17:22:00 +02:00
Glenn Jocher 2e95cf3d79
Improve git_describe() fix 1 (#2635) 
Add stderr=subprocess.STDOUT to catch error messages.
 2021-03-28 17:09:06 +02:00
Ayush Chaurasia 518c09578e
W&B resume ddp from run link fix (#2579) 
* W&B resume ddp from run link fix

* Native DDP W&B support for training, resuming
 2021-03-28 16:11:36 +02:00
Ayush Chaurasia dc51e80b00
Fix: evolve with wandb (#2634) 2021-03-28 16:09:35 +02:00
Glenn Jocher 6e8c5b7678
Improve git_describe() (#2633) 
Catch 'fatal: not a git repository' returns and return '' instead (observed in GCP Hub checks).
 2021-03-28 15:39:31 +02:00
Glenn Jocher 9b92d3ee76
FROM nvcr.io/nvidia/pytorch:21.03-py3 (#2623) 
Update Docker FROM nvcr.io/nvidia/pytorch:21.03-py3
 2021-03-27 18:35:53 +01:00
Glenn Jocher 2dfe32030a
Remove conflicting nvidia-tensorboard package (#2622) 
Attempt to resolve tensorboard Docker error in https://github.com/ultralytics/yolov5/issues/2573
 2021-03-27 18:31:53 +01:00
Glenn Jocher 005d7a8c54
Update Detections() self.n comment (#2620) 
```python
        self.n = len(self.pred)  # number of images (batch size)
```
 2021-03-26 21:19:15 +01:00
Ayush Chaurasia 8f6e447729
Fix Indentation in test.py (#2614) 
* Fix Indentation in test.py

* CI fix

* Comply with PEP8: 80 characters per line
 2021-03-26 20:47:11 +01:00
Glenn Jocher a57f23d18b
Update detections() self.t = tuple() (#2617) 
* Update detections() self.t = tuple()

Fix multiple results.print() bug.

* Update experimental.py

* Update yolo.py
 2021-03-26 13:23:11 +01:00
Glenn Jocher 0ff5aeca61
Create date_modified() (#2616) 
Updated device selection string with fallback for non-git directories.
```python
def select_device(device='', batch_size=None):
    # device = 'cpu' or '0' or '0,1,2,3'
    s = f'YOLOv5 🚀 {git_describe() or date_modified()} torch {torch.__version__} '  # string
...
```
 2021-03-26 12:52:47 +01:00
maxupp 196bf10603
Add '*.mpo' to supported image formats (#2615) 
Co-authored-by: Max Uppenkamp <max.uppenkamp@inform-software.com>
 2021-03-26 12:45:22 +01:00
Glenn Jocher 77415a42e5
Update git_describe() for remote dir usage (#2606) 2021-03-26 01:44:00 +01:00
Glenn Jocher fca16dc4b3
Remove Cython from requirements.txt (#2604) 
Cython should be a dependency of the remaining packages in requirements.txt, so should be installed anyway even if not a direct requirement.
 2021-03-25 21:48:25 +01:00
Glenn Jocher 3bb414890a
resume.py typo (#2603) 2021-03-25 20:55:20 +01:00
Glenn Jocher d4456e43b2
Update segment2box() comment (#2600) 2021-03-25 15:12:49 +01:00
Glenn Jocher ad05e37d99
Save webcam results, add --nosave option (#2598) 
This updates the default detect.py behavior to automatically save all inference images/videos/webcams unless the new argument --nosave is used (python detect.py --nosave) or unless a list of streaming sources is passed (python detect.py --source streams.txt)
 2021-03-25 14:09:49 +01:00
Max Kolomeychenko 16206692f2
Supervisely Ecosystem (#2519) 
guide describes YOLOv5 apps collection in Supervisely Ecosystem
 2021-03-25 00:57:34 +01:00
Glenn Jocher 333ccc5b0f
YOLOv5 PyTorch Hub models >> check_requirements() (#2592) 
Improved user-feedback following requirements auto-update.
 2021-03-24 17:51:39 +01:00
Glenn Jocher 75feeb797c
YOLOv5 PyTorch Hub models >> check_requirements() (#2591) 
Prints 'Please restart runtime or rerun command for update to take effect.' following package auto-install to inform users to restart/rerun.
 2021-03-24 16:42:54 +01:00
Glenn Jocher 8ace1b1b99
YOLOv5 PyTorch Hub models >> check_requirements() (#2588) 
* YOLOv5 PyTorch Hub models >> check_requirements()

Update YOLOv5 PyTorch Hub requirements.txt path to cache path.

* Update hubconf.py
 2021-03-24 16:23:54 +01:00