Viewing Output

[shrybht]

Hi @arunponnusamy

I am a beginner and trying to run the code you provided. After running the code, I was expecting to see the output something similar to:

But, I guess my code is not running completely, because I see just this:

Could you please help me out?

[arunponnusamy]

Hello @shrybht , May I know the command you are using to run the script ? Did you download the YOLO v3 weights file from the link provided in readme ?

[shrybht]

Thanks for your quick response. I apologize. I have mixed up some commands.

And, yes I did download the weights and followed every step you had mentioned.
If I am using the below command:

python yolo_opencv.py --image dog.jpg --config yolov3.cfg --weights yolov3.weights --classes yolov3.txt

I am getting this error:

Traceback (most recent call last): File "yolo_opencv.py", line 57, in <module> net = cv2.dnn.readNet(args.weights, args.config) cv2.error: OpenCV(3.4.2) C:\projects\opencv-python\opencv\modules\dnn\src\darknet\darknet_io.cpp:684: error: (-215:Assertion failed) ifile.is_open() in function 'cv::dnn::darknet::ReadDarknetFromWeightsFile'

Could you help me proceed further?

[shrybht]

I got the output. I had the weights downloaded into a wrong folder.
Thanks.

[yjdeveloper]

I have trained my own dataset in darknet and I used darket way of testing and the result was pretty good. I have used your program to convert it to OpenCV but I am unable to see the bounding boxes in the image. I have used same image for testing in darknet and OpenCV.

[arunponnusamy]

Hello @yjdeveloper , May I know the command you are using to run the script ?
And Python and OpenCV version ? You used YOLO v3 to train ?

[yjdeveloper]

I uses following command to run: *$ ../darknet detector test cfg/obj.data cfg/yolo-voc.2.0.cfg backup/yolo-voc_100.weights cnp1.png* I am using Python Python 3.7.1 and OpenCV 3.4.3 versions. I have used my trained weights and coco.names in your code but I am not getting the expected output like darknet output.

…

On Sun, Dec 2, 2018 at 11:16 AM Arun Ponnusamy ***@***.***> wrote: Hello @yjdeveloper <https://github.com/yjdeveloper> , May I know the command you are using to run the script ? And Python and OpenCV version ? You used YOLO v3 to train ? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#4 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AOpLWHJAfakJtg2RUDj9jWgP-GtjJIYNks5u01Q1gaJpZM4W7wvf> .

-- *Regards* (*YONTEN JAMTSHO*) Associate Lecturer (Computer Science) Department of Mathematics and Computer Science Sherubtse College : Kanglung (+975) 17762073

[arunponnusamy]

Can you share the command you are using to run the Python script ?

[yjdeveloper]

I have used the following Python Scirpt: *$ python yolo.py --image images/cnp.png --config yolo-coco/yolo-voc.2.0 --weights yolo-coco/yolo-voc_100 --classes yolo-coco/obj.names* *Note: I have used your code from https://github.com/arunponnusamy/object-detection-opencv/blob/master/yolo_opencv.py <https://github.com/arunponnusamy/object-detection-opencv/blob/master/yolo_opencv.py>. *

…

On Sun, Dec 2, 2018 at 1:20 PM Arun Ponnusamy ***@***.***> wrote: Can you share the command you are using to run the Python script ? — You are receiving this because you were mentioned. Reply to this email directly, view it on GitHub <#4 (comment)>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AOpLWL4iNtQLpCR0dyAE6jjIku5UdizAks5u03ETgaJpZM4W7wvf> .

-- *Regards* (*YONTEN JAMTSHO*) Associate Lecturer (Computer Science) Department of Mathematics and Computer Science Sherubtse College : Kanglung (+975) 17762073

[awaishere]

Had u resolved the @yjdeveloper 's issue because i also want to use your code with my own trained modal ?
@arunponnusamy

[vaibhavnayak30]

my model is giving good results when testing through darknet but its not giving results when using the given code for custom objects. what can be the issue

[chaitanya-vardhan123]

@yjdeveloper can you share me the links that you trained withdarknet and testing that you have done?

[Glitch0000]

I think you should add the address but make sure to double the slashes,
instead of lets say"E:\YOLO1\cfg" you should write "E:\YOLO1\cfg"