64e0757edf
[Classify]: Allow inference on dirs and videos ( #9003 )
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* allow image dirs
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* Update predict.py
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2022-08-17 22:41:43 +02:00
e83b422a69
Update dataset `names` from array to dictionary ( #9000 )
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* Migrate dataset names to dictionary
* fix check
* backwards compat
* predict fix
* val fix
* Keep dataset stats behavior identical
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
Signed-off-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2022-08-17 17:52:53 +02:00
d3ea0df8b9
New YOLOv5 Classification Models ( #8956 )
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* Update
* Logger step fix: Increment step with epochs (#8654 )
* enhance
* revert
* allow training from scratch
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* Update --img argument from train.py
single line
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* new maning convention for transforms
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* Update classifier.py
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* fix: imshow clip warning
* update
* Revert ToTensorV2 removal
* Update classifier.py
* Update normalize values, revert uint8
* normalize image using cv2
* remove dedundant comment
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* Update
* Update
* Update
* Update
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* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Update
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* Update
* Allow logging models from GenericLogger (#8676 )
* enhance
* revert
* allow training from scratch
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* Update --img argument from train.py
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* fix image size from 640 to 128
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* format
* Update dataloaders.py
* Single line return, single line comment, remove unused argument
* address PR comments
* fix spelling
* don't augment eval set
* use fstring
* update augmentations.py
* new maning convention for transforms
* reverse if statement, inline ops
* reverse if statement, inline ops
* updates
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* update dataloaders
* Remove additional if statement
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* Cleanup
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* Update classifier.py
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* support final model logging
* update
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* Update
* Update
* Update
* Update
* Update dataset download
* Update dataset download
* Update
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* Update
* Update
* Update
* Update
* Update
* Update
* Update
* Update
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* Pass imgsz to classify_transforms()
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* Cos scheduler
* Cos scheduler
* Remove unused args
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* Add seed
* Add seed
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* Add run(), main()
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* Create YOLOv5 BaseModel class (#8829 )
* Create BaseModel
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* Add experiment
* Merge master
* Attach names
* weight decay = 1e-4
* weight decay = 5e-5
* update smart_optimizer console printout
* fashion-mnist fix
* Merge master
* Update Table
* Update Table
* Remove destroy process group
* add kwargs to forward()
* fuse fix for resnet50
* nc, names fix for resnet50
* nc, names fix for resnet50
* ONNX CPU inference fix
* revert
* cuda
* if augment or visualize
* if augment or visualize
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* reset defaults
* reset defaults
* fix gpu predict
* warmup
* ema half fix
* spacing
* remove data
* remove cache
* remove denormalize
* save run settings
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* verbose false on initial plots
* new save_yaml() function
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* Path(data) CI fix
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* fix val
* fix val
* fix val
* smartCrossEntropyLoss
* skip validation on hub load
* autodownload with working dir root
* str(data)
* Dataset usage example
* im_show normalize
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* add imagenet simple names to multibackend
* Add validation speeds
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* 24-space names
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* optimize if names
* update usage
* Add local loading
* Verbose=False
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* named_children
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* update
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* remove denormalize
* ravel fix
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* update opt file printing
* update opt file printing
* update defaults
* add opt to checkpoint
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* plot half bug fix
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2022-08-17 11:59:01 +02:00
bc9fcb1767
HUBDatasetStats() preview images to 50 quality ( #8880 )
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@kalenmike should represent a 30% filesize reduction vs 75 quality
2022-08-05 14:45:41 +02:00
84e7748564
Update dataloaders.py remove `float64` shapes ( #8865 )
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May help https://github.com/ultralytics/yolov5/issues/8862
2022-08-04 17:06:08 +02:00
b367860196
New `HUBDatasetStats()` class ( #8716 )
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* New `HUBDatasetStats()` class
Usage examples:
```
from utils.dataloaders import *
stats = HUBDatasetStats('coco128.yaml', autodownload=True) # method 1
stats = HUBDatasetStats('path/to/coco128_with_yaml.zip') # method 1
stats.get_json(save=False)
stats.process_images()
```
@kalenmike
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2022-07-25 18:20:01 +02:00
a6f197ae79
Update dataloaders.py ( #8714 )
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* Update dataloaders.py
* Update dataloaders.py
2022-07-25 16:52:28 +02:00
0ab303b044
Remove `else:` from load_image() ( #8692 )
2022-07-25 00:02:09 +02:00
1c5e92aba1
Add generator and worker seed ( #8602 )
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* Add generator and worker seed
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2022-07-23 01:25:17 +02:00
526e650553
Fix `LoadImages()` with dataset YAML lists ( #8517 )
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* Fix LoadImages with dataset yaml lists
* Update dataloaders.py
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* Simplify/refactor PR
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Co-authored-by: Colin Wong <noreply@brains4drones.com>
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2022-07-08 14:32:40 +02:00
898332433a
Update cache comments ( #8414 )
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* Update cache comments
For better readability
* Update dataloaders.py
2022-06-30 16:19:22 +02:00
d6051382f1
HUB dataset_stats() error reporting ( #8192 )
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* HUB dataset_stats() error reporting
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2022-06-17 18:37:08 +02:00
86e6add07b
Remove streaming source sleep period ( #8243 )
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Negatively impacts YouTube inference but removes any lag on webcams/RTSP/RTMP etc.
Resolves https://github.com/ultralytics/yolov5/issues/4465
2022-06-17 17:59:27 +02:00
75bbaa8f44
Reject webcam inference on Colab/Kaggle ( #8209 )
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* Reject webcam inference on Colab/Kaggle
Improve user error understanding for https://github.com/ultralytics/yolov5/issues/8180
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2022-06-14 14:28:21 +02:00
c23a441c9d
Improved `dataset_stats()` YAML checks ( #8125 )
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2022-06-11 19:30:54 +02:00
a9a92aec5c
`cv2.resize` interpolation fix ( #7903 )
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Fix for https://github.com/ultralytics/yolov5/discussions/7901
2022-05-20 12:59:05 +02:00
f00071416f
Refactor collections and fstrings ( #7821 )
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* Update torch_utils.py
* Additional code refactoring
* tuples to sets
* Cleanup
2022-05-15 16:38:26 +02:00
9d8ed37df7
Rename `utils/datasets.py` > `utils/dataloaders.py` ( #7799 )
2022-05-13 14:34:16 +02:00
Ayush Chaurasia
Glenn Jocher
UnglvKitDe
Colin Wong