Louis Dupont

Hi @23pointsNorth Thanks for letting us know about the links, a fix was pushed and it should be merged very soon! Concerning your other issues, `super-gradients==3.1.3` was just released, please...

@yukaizhou please follow issue template and share: - code snippet - Full exception (your screenshot missed the last line) - run pip freeze and copy/paster the result Without this we...

@yukaizhou it looks like it's not directly related to SuperGradients. This seems to be due to [setuptools](https://stackoverflow.com/questions/71027006/assertionerror-inside-of-ensure-local-distutils-when-building-a-pyinstaller-exe), you can try to run `pip install setuptools==59.8.0` and try again after

Just follow the instructions and it ran pretty fast on my computer (Mac), but I only see some keys. Is it normal?

Hi @frankvp11 , I am really not sure why you would have a problem `batch_size` of 2 on `yolo_nas_s `. You can try out a few different configurations and see...

Hi @sivaji123256 and @Lifeguard-alex , Please check out https://github.com/Deci-AI/super-gradients/issues/976, does this solve your issue ?

To resume you just need to set `training_params.resume = True` Feel free to check the [documentation for loading checkpoints](https://docs.deci.ai/super-gradients/documentation/source/Checkpoints.html#loading-checkpoints) if you're interested, it explains more generally how to use checkpoints,...

Let's say you trained on `training_hyperparams.max_epochs=50` and now want to run for `300` instead: ### If you are training with a [recipe](https://docs.deci.ai/super-gradients/src/super_gradients/recipes/Training_Recipes.html) ```shell python -m super_gradients.train_from_recipe --config-name= experiment_name= training_hyperparams.resume=True training_hyperparams.max_epochs=300...

@AdnanMunir294 exactly, `resume_path` allows you to specify which checkpoint you want to use to resume your experiment. Note that when using `resume_path` you don't need to set `resume=True` :)

@absmahi01 , when you set `resume=True`, the model will load the model named `ckpt_latest.pth` in your experiment directory: `//ckpt_latest.pth`). This is usually what you will want to do because you...