Mastering Computer Vision with TensorFlow 2.x by Krishnendu Kar

Author:Krishnendu Kar [Krishnendu Kar]
Language: eng
Format: epub
Tags: COM016000 - COMPUTERS / Computer Vision and Pattern Recognition, COM012050 - COMPUTERS / Image Processing, COM037000 - COMPUTERS / Machine Theory
Publisher: Packt
Published: 2020-05-14T13:56:26+00:00

Then, download the video file by typing the following command in the terminal:

./darknet detector demo cfg/coco.data cfg/yolov3.cfg yolov3.weights data/road_video.mp4

Here, the YOLO model with 106 layers, as explained before, will be compiled and the video will be played. You will notice that the video plays extremely slowly. This can be fixed in the following two steps that we will execute. They should be executed one by one, as each step has ramifications.

Open Makefile again. Change GPU to 1, save Makefile, and repeat steps 4 to 6. At this point, I noticed that step 6 provided the following CUDA out of memory error:

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