Ayush Chaurasia
Ayush Chaurasia
Weights & Biases helps turn deep learning research projects into deployed software by helping teams track their models, visualize model performance and easily automate training and improving models.
This PR adds support for Weights and Biases Metric and evaluation logging. ## How to use? * pass `--use-wandb` flag with `tools/train.py` * Set number of interactive evaluations samples to...
This PR adds support for debugging models using W&B, only if the library is already found installed. When using W&B, users of YOLOV5 can debug their models easily inside a...
**Is your feature request related to a problem? Please describe.** Most outputs are beautifully displayed on notebook cells so it's understandable. But I think there's a big use case for...
@glenn-jocher Added setup.py to convert this into into a package. Can be imported in yolov5 to convert datasets on the fly while training. Usage ``` from json2yolo import convert_coco_json convert_coco_json(...)...
@glenn-jocher did you mean this?
@glenn-jocher @Laughing-q I've started implementing the results class. While implementing this I felt like we can separate out the show()/crop() part from this. It is already supported by write_results. We...
### Search before asking - [X] I have searched the YOLOv5 [issues](https://github.com/mikel-brostrom/Yolov5_StrongSORT_OSNet/issues) and found no similar enhancement requests. ### Description Hey @mikel-brostrom , we just released the Ultralytics framework. https://github.com/ultralytics/ultralytics...
@glenn-jocher @Laughing-q what do you think?
### Search before asking - [X] I have searched the YOLOv8 [issues](https://github.com/ultralytics/ultralytics/issues) and [discussions](https://github.com/ultralytics/ultralytics/discussions) and found no similar questions. ### Question ## 1. How do I get predictions when using...