I compiled yolo with GPU, CUDA, and opencv on. It compiles correctly. it runs on the sample images like dog.jpg etc as described in wiki. However, I am not getting any predictions!

My output: Case 1 and 2 (GPU ON, CUDA ON/OFF, opencv on Loading weights from yolo.weights...Done! data/dog.jpg: Predicted in 0.056 seconds.

and it hangs here

case 3: GPU ON, CUDA, OPENCV OFF data/dog.jpg: Predicted in 0.17 seconds. Not compiled with OpenCV, saving to predictions.png instead

but the predictions have no BB.

One thing i noticed was that the link for yolo weights is ~200MB but the wiki page says its 1 GB.

Feb 22 '18 13:02 ramanpreet9

I am having exactly the same problem and also the same observation about the file size.

Were you able to solve this problem meanwhile?

Mar 19 '18 08:03 konbick

The yolo wights have an issue as i mentioned in my post. If you use the small or tiny weights, it works fine. but, until the author responds, you cannot use the full weights.

Mar 19 '18 08:03 ramanpreet9

Man, thanks a lot for your post! You saved me a lot of headache!

Mar 19 '18 08:03 konbick

Oh, no. It doesn't work for me even with the tiny weights...

Mar 19 '18 08:03 konbick

try both tiny and small. it worked for me.

Mar 19 '18 08:03 ramanpreet9

Should I use a different cfg? Could you let me know your command when trying to infere a test image? Thanks

Mar 19 '18 08:03 konbick

./darknet yolo test cfg/yolov1/yolo-small.cfg /weights/yolo-small.weights data/dog.jpg -thresh 0.1

On Mon, Mar 19, 2018 at 5:00 PM, konbick [email protected] wrote:

Should I use a different cfg? Could you let me know your command when trying to infere a test image? Thanks

— You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub https://github.com/pjreddie/darknet/issues/486#issuecomment-374142233, or mute the thread https://github.com/notifications/unsubscribe-auth/AMbPE_l0L7C6NdHqMWlBGVtIjjht4Ns6ks5tf3OSgaJpZM4SPV7y .

Mar 19 '18 09:03 ramanpreet9

Yes, you need to use the relevant config file small.weights with small.cfg etc

Mar 19 '18 09:03 ramanpreet9

If I use the following command, it works well for me, too

./darknet detect cfg/yolo.cfg weights/yolo.weights data/horses.jpg

Mar 20 '18 05:03 konbick

I had the same problem as u,I test the cmd “./darknet detect cfg/yolov3.cfg yolov3.weights data/dog.jpg” but no response。Then I changed to "./darknet detect cfg/yolov2.cfg yolo.weights data/dog.jpg" ,It's works。I'm wondering why！！！

May 29 '18 08:05 kjcx100

I am having the same problem, except I cannot detect the dog for any combination of weights and architectures.

CUDA 8.0 K80 CUDNN 7.1 Nvidia drivers 375.66

GPU=1, CUDNN=1

Jun 29 '18 17:06 csbrown

Upgraded my nvidia drivers and cuda. No better.

CUDA 9.1 K80 CUDNN 7.1 Nvidia drivers 390.67

GPU=1, CUDNN=1

Jul 02 '18 19:07 csbrown

Lowered the -thresh option to 0.01, and it detects everything, everywhere at a confidence of 5%. This is weird, but I suppose this is because 0%s cause issues with cross-entropy loss, so the minimum confidence is 5%..... okay. If I set the -thresh option to 0.06, I detect like a gazillion people, one for each grid cell, it seems. Going to add a cli option for -hier_thresh and see what that does so I can get a handle on all this to dig deeper to debug.

Jul 02 '18 19:07 csbrown

Turned off CUDNN and it seems to work. What version of CUDNN is everyone using?

Jul 10 '18 13:07 csbrown

yeah! I have the same problem, and I turned off CUDNN, and it worked, but I don't know why, is the version of CUDNN wrong? CUDA -> 8.0 NVIDIA drive -> 375.26 (seem like I have two version of CUDNN, 5.1.10 and 7.2.1)

Aug 17 '18 07:08 zhangyi6

Any update?

I have the same issue with Cuda 10, if I disable CUDNN it works

Nov 09 '18 10:11 grosmar

I encountered the same problem while working on GCP and I can confirm that it works every time while disabling cudnn but I also made it work with cudnn enabled just by creating a new IDENTICAL virtual machine with same cuda and cudnn, which is a bit weird. This may show that is not a problem with the weights.

Jan 02 '19 12:01 danieltanasec

I encountered this problem using the NVIDIA GPU Cloud Image for Deep Learning, Data Science, and HPC image on GCP. Turns out, it was because I was using the NVIDIA Tesla V100 GPU. I wasnt having this issue on a new instance with the NVIDIA Tesla P100.

Jul 07 '19 19:07 ministrudels

opencv=1 cuda=1 cudnn=1

same error, please modify cfg/yolov3.cfg,

Testing

batch=1 subdivisions=1

Training

#batch=256 #subdivisions=64 then, detector result display ok

Mar 03 '20 08:03 SirojbekSafarov

i have the same issue ...

some update with this problem?

`Performing object detection: INPUT_IMGS----- tensor([[[[0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], ..., [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.], [0., 0., 0., ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]]],


    [[[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]]],


    [[[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]]],


    [[[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]],

     [[0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      ...,
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.],
      [0., 0., 0.,  ..., 0., 0., 0.]]]])
+ Batch 0, Inference Time: 0:00:00.487818

Saving images: (0) Image: 'data/test/DZUY1ekX4AEiNgq.jpg' (1) Image: 'data/test/Metallic-Corrosion.jpg' (2) Image: 'data/test/corrosion002.jpg' (3) Image: 'data/test/istockphoto-1179527589-1024x1024.jpg' `

May 20 '21 21:05 CheRaton

I have same issue and I have Cuda - v11.7 and Cudnn-11 so give suggestions

Aug 25 '22 12:08 AbhiNexgits

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YOL) compiles and runs, but no predictions

Testing

Training

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YOL) compiles and runs, but no predictions

Testing

Training

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