Rishiraj Acharya
Rishiraj Acharya
Must be a version mismatch of LightGBM used here and the one you used, since 'early_stopping_rounds' was deprecated but not removed in the version used here, so it should give...
@around-star While I appreciate the efforts you have put, I feel you have deviated from the original goals of this issue. The goal of this issue was to convert to...
@SubhasmitaSw since you had mentioned in your proposal about the end semester exam before the first evaluation, you can have some extension. But please adhere to your timeline in phase...
@sayakpaul @around-star fixed it!
@piyush-cosmo even I think this would be the right choice to go with. We can use the [SSD MobileNet](http://storage.googleapis.com/download.tensorflow.org/models/tflite/coco_ssd_mobilenet_v1_1.0_quant_2018_06_29.zip) model with COCO labels. I think this will be beneficial even...
@piyush-cosmo you've done a really good job. However in the prediction I see some persistent large overlapping bounding boxes being falsely predicted as person. I fear this can cause trouble...
Lovely work @piyush-cosmo I have executed the code and it's giving perfectly fine output. You've successfully completed the issue assigned to you. Yes @sayakpaul I think he can now collaborate...
this should fix the issue https://github.com/huggingface/transformers/pull/33315
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