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I've had some troubles installing Yolact++ (with DCNv2), as have others #251 etc.
Would it be possible to make DCNv2 working out-of-the box? I see https://github.com/pytorch/vision/pull/1586 has r…
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hi, it seems increasing kernel sizes any number above 8192 floats (w 2 batches) causes a parsing error (VKFFT_ERROR_FAILED_SHADER_PARSE) for batched convolutions. i've reproduced this in many setting …
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```
./darknet detector train data_file cfg_file -gpus 0,1,2,3 -map
CUDA-version: 11020 (11020), cuDNN: 8.1.0, CUDNN_HALF=1, GPU count: 4
CUDNN_HALF=1
OpenCV version: 4.5.1
0 : compute…
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If something doesn’t work for you, then show 2 screenshots:
1. screenshots of your issue
The loss seems not normal when training the custom date by use yolov4-csp and yolov4x-mish, but it is normal …
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i get --nan when train csresnext50-panet-spp-original-optimal.cfg with my 6 classes custom object dataset and use csresnext50-panet-spp-original-optimal_final.conv.112 weight on 4 gpu 2080 ti
![…
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I would like to turn an existing convolutional neural network (ResNet) into a sparse model. This model contains `torch.nn.Conv2d` but not `torch.nn.Linear`. Does `sten` support this operation?
I ch…
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I trained yolov4-tiny.cfg on one class and that worked. But, when I wanted to train yolov4.cfg, after loading weights it just put it on hold. I suppose it is not because of cuda because it works for t…
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Hi,
I'm having issues training a custom dataset, i'm getting "high Avg Loss" and i don't know why.
The dataset has 1 Class with:
9 images for "test" (Resolution 320x320)
35 images fo…
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Hello,
I am working through a small object detection training model. I am starting out with roughly 4000x4000 images and tiling them down into 512 by 512 images and running the training on them. Cu…
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I am trying to train a custom yolov3 model to detect a single class. My dataset consists of 450 training images and 50 validation images. The images have a resolution of 500x374, and the objects range…
goncz updated
4 years ago