在运行sudo ./yolov5 -s的时候遇到这个错，我用的是自己训练的权重，已经在yololayer.h中修改了类别数还是不行 #25
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你解决了么？我怀疑是yolov5的版本不一样导致的，我用的yolov5-v5.0也报错，你有没有尝试yolov5-v3.0或者3.1 |
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你用yolov5s试一下，我都用s解决了，其他的还没试
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On May 13, 2021, at 14:35, zhaoxiaolong2020 ***@***.***> wrote:
你解决了么？我怀疑是yolov5的版本不一样导致的，我用的yolov5-v5.0也报错，你有没有尝试yolov5-v3.0或者3.1
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我用的也是yolo5s, 你用的是yolov5-v5.0这个版本还是3.1 or 3.0 这两个版本 |
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3.0的
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On May 13, 2021, at 19:45, zhaoxiaolong2020 ***@***.***> wrote:
你用yolov5s试一下，我都用s解决了，其他的还没试
…
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On May 13, 2021, at 14:35, zhaoxiaolong2020 @.***> wrote: 你解决了么？我怀疑是yolov5的版本不一样导致的，我用的yolov5-v5.0也报错，你有没有尝试yolov5-v3.0或者3.1 — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
我用的也是yolo5s, 你用的是yolov5-v5.0这个版本还是3.1 or 3.0 这两个版本
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可能是yolov5版本不一样，去https://github.com/wang-xinyu/tensorrtx/tree/master/yolov5看看版本 |
Loading weights: ../yolov5l.wts
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
Building engine, please wait for a while...
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer 5) [Convolution]: kernel weights has count 8640 but 6912 was expected
[04/29/2021-13:04:16] [E] [TRT] (Unnamed Layer* 5) [Convolution]: count of 8640 weights in kernel, but kernel dimensions (3,3) with 12 input channels, 64 output channels and 1 groups were specified. Expected Weights count is 12 * 33 * 64 / 1 = 6912
[04/29/2021-13:04:16] [E] [TRT] Could not compute dimensions for (Unnamed Layer 5) [Convolution]_output, because the network is not valid
[04/29/2021-13:04:16] [E] [TRT] Network validation failed.
Build engine successfully!
yolov5: /home/sources/Yolov5-in-Deepstream-5.0/yolov5.cpp:440: void APIToModel(unsigned int, nvinfer1::IHostMemory**): Assertion `engine != nullptr' failed.
Aborted (core dumped)
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