YOLO_v3_tutorial_from_scratch
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Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"
totally use your code, does not change any thing. but error comes out.... here is error info C:\Users\Max\Anaconda3\envs\Pytorch\lib\site-packages\torch\nn\modules\upsampling.py:122: UserWarning: nn.Upsampling is deprecated. Use nn.functional.interpolate instead. warnings.warn("nn.Upsampling is deprecated. Use nn.functional.interpolate...
Hello, ayooshkathuria Can you help explain the below line from yolov3.cfg anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326 It is understood that there are three different...
I have run your code and darknet_alexey with the same images and same weights but I got different results. Earlier you had the same issue and you resolve this issue,...
There is an error in `darknet.py` line 118 in https://github.com/ayooshkathuria/YOLO_v3_tutorial_from_scratch/commit/0057114edfa1522e089dc5f379a1ebd4282f0ff3 `upsample = nn.Upsample(scale_factor = 2, mode = "nearest")` should be `upsample = nn.Upsample(scale_factor = stride, mode = "nearest")` This bug...
#Positive anotation if start > 0: start = start - index if end > 0: end = end - index I am unable to understand what this means in the...
Have you tested for performance with pytorch ver.1. , or it works only old version?
Then I run detection with yolov3.cfg , yolov3.weights and coco.names (80 class list) all working good at video and images, and accuracy too fine. But if I change cfg to...
How can I save the detected video? I am using ` video_detect.append(frame)` instead of `cv2.imshow("frame",frame)` to collect the detected frames. I tried to combine them to video using the following...
when I test forward pass ,I got such error: Traceback (most recent call last): File "darknet_debug.py", line 317, in model = Darknet('cfg/yolov3.cfg') File "darknet_debug.py", line 172, in __init__ self.net_info, self.module_list...