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I'm getting a segmentation fault running ofxDarknet on Ubuntu 18.0.4.
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13 conv 512 3 x 3 / 1 1 x 1 x1024 -> 1 x 1 x 512
14 conv 425 1 x 1 / 1 1 x 1 x 512…
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Trained a YOLOv2 architecture on the custom images using darknet and after freezing the graph using darkflow, Model weight (.pb) file size is 268MB, Once we load this into gpu for inference it is cons…
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Hi @mbjelonic,
Cool package :+1:
I saw this was released on the ROS buildfarm but [never succeeded to build](http://build.ros.org/view/Kbin_uX64/job/Kbin_uX64__darknet_ros__ubuntu_xenial_amd64_…
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STEP4:微调finetune,使用蒸馏技术优化模型。torch.nn.modules.module.ModuleAttributeError: 'Darknet' object has no attribute 'copy',出现了这个错误。
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Data was labeled with Euclid. However darknet (your repo) said that images could not be opened. I changed CLRF to LF at the end of strings (every label) and now it works.
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I've managed to succefully create a custom weights file based on a custom configuration file. However, when I try to run the new tiny yolo:
`runfile('flow.py', args='--model cfg/tiny-yolo-voc-1c.cf…
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I used the following command to create a .pb file:
flow --model ../YOLOv2/alexeyAB_darknet/darknet-master/cfg/yolov2-dppedestrian.cfg --load ../YOLOv2/alexeyAB_darknet/darknet-master/backup/yolov2-dp…
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Hi, i tried to use tiny-yolo.cfg and tiny-yolo.weights, when i run the command
`python3 flow --model cfg/tiny-yolo.cfg --load bin/tiny-yolo.weights`
I found some errors like this
> Parsing ./c…
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I am facing issue while running the train.py on GPU linux machine.
train.sh: line 1: ./darknet directory is not found.
Please, inform how can I resolve the error?
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I have trained the model in my own training images and labels. When I loaded the latest .weights and test in a image(.png), a error happend:
Error in `./darknet': free(): invalid next size (fast): 0x…