DeepForest
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weecology
Python Package for Airborne RGB machine learning
RuntimeError: Error(s) in loading state_dict for RetinaNet: size mismatch for head.classification_head.cls_logits.weight: copying a param with shape torch.Size([9, 256, 3, 3]) from checkpoint, the shape in current model is torch.Size([18, 256,...
Excuse me I am quite a beginner and I apologies if this is a trivial question. I would like to use DeepForest on large area about 50000 square km. Does...
**Describe the bug** ``` Traceback (most recent call last): File "C:\Users\Thomas\anaconda3\envs\deepf\lib\site-packages\spyder_kernels\py3compat.py", line 356, in compat_exec exec(code, globals, locals) File "c:\gisdb\python\pydeepf.py", line 10, in from deepforest import main ImportError: cannot import...
Hello, I am trying to train with RGB images of different size. However, since epoch 0 the loss function is not being computed. I only have a NaN from the...
I really like Deepforest. It works great and I was wondering if it can run on Torchserve. It would be great if I could use it together with Torchserve. But...
**Describe the bug** In [main.py](https://github.com/weecology/DeepForest/blob/02aac1fd8105f18e63c321be170c2c55d82a51c6/deepforest/main.py#L127), the `enable_checkpointing=False` is hard coded. When I pass a lightning ModelCheckpoint to `create_trainer()` then it throws the error: `Trainer was configured with "enable_checkpointing=False" but found...
Hi there, I'm revisiting Deepforest again after not using it for 18months - things have changed a lot! This question was previously an issue about getting the GPU working, but...
**Describe the bug** Trying to run the colab linked to in README errors with: `ImportError: cannot import name 'functional' from 'albumentations'` **To Reproduce** 1. Open https://colab.research.google.com/drive/1gKUiocwfCvcvVfiKzAaf6voiUVL2KK_r?usp=sharing in your browser 1....
**Describe the bug** When using the `evaluate.evaluate` function on the prediction made by `predict.predict_image`, an error is shown ``` File "reproject.py", line 39, in results = model.evaluate(csv_file, root_dir, iou_threshold=0.4, savedir=None)...
