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Implementation EfficientDet: Scalable and Efficient Object Detection in PyTorch

Results 101 EfficientDet.Pytorch issues
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I have seen on your ToDo you plan TorchScript compatibility? Can you indicate a timeline for this? I can not support directly, but if I could donate something let me...

``` (venv) jake@jake-ubuntu:~/Gits/EfficientDet.Pytorch$ python train.py --network efficientdet-d0 # Example train.py:302: UserWarning: You have chosen to seed training. This will turn on the CUDNN deterministic setting, which can slow down your...

ValueError: not enough values to unpack (expected 2, got 1) error come up with inputs, annotations = inputs when im doing multiprocessing-distributed

how many gpu and u guys using for batch 64? 1. which gpu u guys used? 2. how many gpu need for batch 32 or 64?

I have train the d0 on coco 2 weeks, whatever I change the learning rate, or other parameters, the val cl loss is around 1.0 but the map is 0...

File "/usr/local/lib/python3.7/site-packages/albumentations-0.4.1-py3.7.egg/albumentations/augmentations/bbox_utils.py", line 28, in ensure_data_valid if data.get(data_name) and len(data[data_name][0]) < 5: ValueError: The truth value of an array with more than one element is ambiguous. Use a.any() or a.all()...

loading annotations into memory... Done (t=10.57s) creating index... index created! loading annotations into memory... Done (t=0.33s) creating index... index created! Downloading: "http://storage.googleapis.com/public-models/efficientnet/efficientnet-b0-355c32eb.pth" to /home/itandroids/.cache/torch/checkpoints/efficientnet-b0-355c32eb.pth Traceback (most recent call last): File...

This just changes the EfficientNet URLs to make the automatic download work, fixing #148 .

Hi, I try to use your code to train my own dataset. The procedure is normal and the loss is down to 2.1 after 100 epochs training. But when I...