Traceback (most recent call last): File "train.py", line 531, in <module> train(hyp, opt, device, tb_writer, wandb) File "train.py", line 297, in train loss, loss_items = compute_loss(pred, targets.to(device)) # loss scaled by batch_size File "/content/yolov5/utils/loss.py", line 117, in __call__ tcls, tbox, indices, anchors = self.build_targets(p, targets) # targets File "/content/yolov5/utils/loss.py", line 211, in build_targets indices.append((b, a, gj.clamp_(0, gain[3] - 1), gi.clamp_(0, gain[2] - 1))) # image, anchor, grid indices RuntimeError: result type Float can't be cast to the desired output type long int CPU times: user 204 ms, sys: 34.8 ms, total: 239 ms Wall time: 26.9 s Training is not happening!

[HassanBinHaroon]

It seems that the colab file needs to be fixed a little bit. Training is not getting started and results are not generating. I cannot evaluate it and cannot fine-tune it for my own application.

Kindly guide so I can run it smoothly.

Thanks!