333ccc5b0f
YOLOv5 PyTorch Hub models >> check_requirements() ( #2592 )
Improved user-feedback following requirements auto-update.
3年前
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.
3年前
2b329b0945
Enhanced check_requirements() with auto-install ( #2575 )
* Update check_requirements() with auto-install
This PR builds on an idea I had to automatically install missing dependencies rather than simply report an error message.
YOLOv5 should now 1) display all dependency issues and not simply display the first missing dependency, and 2) attempt to install/update each missing/VersionConflict package.
* cleanup
* cleanup 2
* Check requirements.txt file exists
* cleanup 3
3年前
1bf9365280
W&B DDP fix ( #2574 )
3年前
e8fc97aa38
Improved W&B integration ( #2125 )
* Init Commit
* new wandb integration
* Update
* Use data_dict in test
* Updates
* Update: scope of log_img
* Update: scope of log_img
* Update
* Update: Fix logging conditions
* Add tqdm bar, support for .txt dataset format
* Improve Result table Logger
* Init Commit
* new wandb integration
* Update
* Use data_dict in test
* Updates
* Update: scope of log_img
* Update: scope of log_img
* Update
* Update: Fix logging conditions
* Add tqdm bar, support for .txt dataset format
* Improve Result table Logger
* Add dataset creation in training script
* Change scope: self.wandb_run
* Add wandb-artifact:// natively
you can now use --resume with wandb run links
* Add suuport for logging dataset while training
* Cleanup
* Fix: Merge conflict
* Fix: CI tests
* Automatically use wandb config
* Fix: Resume
* Fix: CI
* Enhance: Using val_table
* More resume enhancement
* FIX : CI
* Add alias
* Get useful opt config data
* train.py cleanup
* Cleanup train.py
* more cleanup
* Cleanup| CI fix
* Reformat using PEP8
* FIX:CI
* rebase
* remove uneccesary changes
* remove uneccesary changes
* remove uneccesary changes
* remove unecessary chage from test.py
* FIX: resume from local checkpoint
* FIX:resume
* FIX:resume
* Reformat
* Performance improvement
* Fix local resume
* Fix local resume
* FIX:CI
* Fix: CI
* Imporve image logging
* (:(:Redo CI tests:):)
* Remember epochs when resuming
* Remember epochs when resuming
* Update DDP location
Potential fix for #2405
* PEP8 reformat
* 0.25 confidence threshold
* reset train.py plots syntax to previous
* reset epochs completed syntax to previous
* reset space to previous
* remove brackets
* reset comment to previous
* Update: is_coco check, remove unused code
* Remove redundant print statement
* Remove wandb imports
* remove dsviz logger from test.py
* Remove redundant change from test.py
* remove redundant changes from train.py
* reformat and improvements
* Fix typo
* Add tqdm tqdm progress when scanning files, naming improvements
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
3年前
9b11f0c58b
PyTorch Hub models default to CUDA:0 if available ( #2472 )
* PyTorch Hub models default to CUDA:0 if available
* device as string bug fix
3年前
2d41e70e82
Scipy kmeans-robust autoanchor update ( #2470 )
Fix for https://github.com/ultralytics/yolov5/issues/2394
3年前
38ff499b26
Update autosplit() with annotated_only option ( #2466 )
* Be able to create dataset from annotated images only
Add the ability to create a dataset/splits only with images that have an annotation file, i.e a .txt file, associated to it. As we talked about this, the absence of a txt file could mean two things:
* either the image wasn't yet labelled by someone,
* either there is no object to detect.
When it's easy to create small datasets, when you have to create datasets with thousands of images (and more coming), it's hard to track where you at and you don't want to wait to have all of them annotated before starting to train. Which means some images would lack txt files and annotations, resulting in label inconsistency as you say in #2313 . By adding the annotated_only argument to the function, people could create, if they want to, datasets/splits only with images that were labelled, for sure.
* Cleanup and update print()
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
3年前
08d4918d7f
labels.jpg class names ( #2454 )
* labels.png class names
* fontsize=10
3年前
f01f3223d5
Integer printout ( #2450 )
* Integer printout
* test.py 'Labels'
* Update train.py
3年前
e8a2b83268
GCP sudo docker userdata.sh ( #2393 )
* GCP sudo docker
* cleanup
3年前
7c2c95732c
AWS wait && echo "All tasks done." ( #2391 )
3年前
ba18528b47
bbox_iou() stability and speed improvements ( #2385 )
3年前
cd8ed3521d
image weights compatible faster random index generator v2 for mosaic augmentation ( #2383 )
image weights compatible faster random index generator v2 for mosaic augmentation
3年前
2c56ad5436
Confusion matrix background axis swap ( #2114 )
3年前
fab5085674
EMA bug fix 2 ( #2330 )
* EMA bug fix 2
* update
3年前
a82dce7faa
Fix labels being missed when image extension appears twice in filename ( #2300 )
3年前
ec1d8496ba
Improved model+EMA checkpointing ( #2292 )
* Enhanced model+EMA checkpointing
* update
* bug fix
* bug fix 2
* always save optimizer
* ema half
* remove model.float()
* model half
* carry ema/model in fp32
* rm model.float()
* both to float always
* cleanup
* cleanup
3年前
0070995bd5
Amazon AWS EC2 startup and re-startup scripts ( #2282 )
3年前
d5d275b6e9
Amazon AWS EC2 startup and re-startup scripts ( #2185 )
* Amazon AWS EC2 startup and re-startup scripts
* Create resume.py
* cleanup
3年前
83dc1b4484
FLOPS min stride 32 ( #2276 )
Signed-off-by: xiaowo1996 <429740343@qq.com>
3年前
6f5d6fcdaa
Robust objectness loss balancing ( #2256 )
3年前
c09964c27c
Update inference default to multi_label=False ( #2252 )
* Update inference default to multi_label=False
* bug fix
* Update plots.py
* Update plots.py
3年前
47faf95079
reset head
3年前
d2e754b67b
Add isdocker() ( #2232 )
* Add isdocker()
* Update general.py
* Update general.py
3年前
26c2e54c8f
Add check_imshow() ( #2231 )
* Add check_imshow()
* Update general.py
* Update general.py
3年前
7b833e37bf
LoadStreams() frame loss bug fix ( #2222 )
3年前
bdd88e1ed7
YOLOv5 Segmentation Dataloader Updates ( #2188 )
* Update C3 module
* Update C3 module
* Update C3 module
* Update C3 module
* update
* update
* update
* update
* update
* update
* update
* update
* update
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* update
* update
* update
* update
* updates
* updates
* updates
* updates
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update datasets
* update
* update
* update
* update attempt_downlaod()
* merge
* merge
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* parameterize eps
* comments
* gs-multiple
* update
* max_nms implemented
* Create one_cycle() function
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* GitHub API rate limit fix
* update
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* astuple
* epochs
* update
* update
* ComputeLoss()
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* merge
* merge
* merge
* merge
* update
* update
* update
* update
* commit=tag == tags[-1]
* Update cudnn.benchmark
* update
* update
* update
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* update
* update
* update
* update
* update
* mosaic9
* update
* update
* update
* update
* update
* update
* institute cache versioning
* only display on existing cache
* reverse cache exists booleans
3年前
a5d5f9262d
Changed socket port and added timeout ( #2176 )
3年前
c9bda112ae
Update utils/datasets.py to support .webp files ( #2174 )
Simply added 'webp' as an image format to the img_formats array so that webp image files can be used as training data.
3年前
86897e3663
Update train.py test batch_size ( #2148 )
* Update train.py
* Update loss.py
3年前
e9b3de463a
Unique *.cache filenames fix ( #2134 )
* fix #2121
* Update test.py
* Update train.py
* Update autoanchor.py
* Update datasets.py
* Update log_dataset.py
* Update datasets.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
3年前
4bdc5a397e
LoadImages() pathlib update ( #2140 )
3年前
73a0669930
Start setup for improved W&B integration ( #1948 )
* Add helper functions for wandb and artifacts
* cleanup
* Reorganize files
* Update wandb_utils.py
* Update log_dataset.py
We can remove this code, as the giou hyp has been deprecated for a while now.
* Reorganize and update dataloader call
* yaml.SafeLoader
* PEP8 reformat
* remove redundant checks
* Add helper functions for wandb and artifacts
* cleanup
* Reorganize files
* Update wandb_utils.py
* Update log_dataset.py
We can remove this code, as the giou hyp has been deprecated for a while now.
* Reorganize and update dataloader call
* yaml.SafeLoader
* PEP8 reformat
* remove redundant checks
* Update util files
* Update wandb_utils.py
* Remove word size
* Change path of labels.zip
* remove unused imports
* remove --rect
* log_dataset.py cleanup
* log_dataset.py cleanup2
* wandb_utils.py cleanup
* remove redundant id_count
* wandb_utils.py cleanup2
* rename cls
* use pathlib for zip
* rename dataloader to dataset
* Change import order
* Remove redundant code
* remove unused import
* remove unused imports
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
3年前
9646ca438a
Update plot_study() ( #2112 )
3年前
be9edffded
Update test.py --task speed and study ( #2099 )
* Add --speed benchmark
* test range 256 - 1536
* update
* update
* update
* update
3年前
a18efc3a73
Add variable-stride inference support ( #2091 )
3年前
630ec06af6
Update to colors.TABLEAU_COLORS ( #2069 )
3年前
f639e14e4d
Metric-Confidence plots feature addition ( #2057 )
* Metric-Confidence plots feature addition
* cleanup
* Metric-Confidence plots feature addition
* cleanup
* Update run-once lines
* cleanup
* save all 4 curves to wandb
3年前
f59f80114c
Add 'exclude' tuple to check_requirements() ( #2041 )
3年前
59c21c7bcb
W&B log epoch ( #1946 )
* W&B log epoch
* capitalize
* W&B log epoch
* capitalize
* Update train.py
New try using https://docs.wandb.ai/library/log#incremental-logging
* Update train.py
* Update test.py
* Update train.py
* Update plots.py
* Update train.py
* Update train.py
* label plot step -1
* update
* update
* update
* update
* update
* update
* Update train.py
* Update train.py
3年前
08d3119e09
Add histogram equalization fcn ( #2049 )
3年前
8fcbe43423
Check im.format during dataset caching ( #2042 )
* Check im.format during dataset caching
* Update datasets.py
3年前
3b7feeafdf
Update general.py check_git_status() fix ( #2020 )
3年前
aac33f87ad
Update inference multiple-counting ( #2019 )
* Update inference multiple-counting
* update github check
3年前
77fd83225f
Update google_utils.py ( #2017 )
3年前
1445ab2b27
check_git_status() Windows fix ( #2015 )
* check_git_status() Windows fix
* Update general.py
* Update general.py
* Update general.py
* Update general.py
* Update general.py
* Update general.py
3年前
d9212140b3
Add xywhn2xyxy() ( #1983 )
3年前
b1cf25dd9a
check_git_status() asserts ( #1977 )
3年前
17751b9891
Update autoanchor.py with yaml.SafeLoader ( #1971 )
3年前
Glenn Jocher
Ayush Chaurasia
Yann Defretin
Yonghye Kwon
Ryan Avery
Iden Craven
xiaowo1996
NanoCode012
Transigent
train255
Abhiram V