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paul-pias / Object-Detection-and-Distance-Measurement

Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.
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NEED HELP #42

Open Ayushlath opened 2 years ago

Ayushlath commented 2 years ago

Can you help me in running this project from starting. I am getting stuck.

Roggu92 commented 2 years ago

I share the way I implemented it.

  1. Download the project locally (any path you want to save the project) (My path is... E:\Object-Detection-and-Distance-Measurement-master)

  2. 'env' was created using anaconda powershell prompt. $ conda create -n object_detection python=3.6 $ conda activate object_detection

  3. Installed the necessary library referring to README.

  4. Download the weight file uploaded by paul-pias to fit the yolo version (v3 or v4).

  5. Weight file was saved in the same path as the obejct_detection.py file.

  6. Go to the path where object_detection.py exists in the anaconda powershell prompt

    • I used v4.
    • $ cd E:\Object-Detection-and-Distance-Measurement-master\YOLOv4

  7. Run object_detection.py $ python object_detection.py (Note: The voice feedback function is annotated. v3 : Modify the code of the file 'object_detection' v4 : Modify line 144 of 'tool\utils')

HassanBinHaroon commented 2 years ago

Check out the following relevant and easiest implementation.

https://github.com/HassanBinHaroon/object_detection-PLUS-distance_estimation-v1