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I want to implement a face detection model using TensorFlow. I have a dataset downloaded from Google's OID. I have prepared the annotation file as required in the YOLO. But I don't understand how to convert the annotations to the required output tensors.

Is learning Darknet a simpler option?

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I personally prefer to use darknet rather than Tensorflow. However, use these codes to build YOLOV3 in TensorFlow.

Also, take a look at this link

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  • $\begingroup$ I have a windows system. $\endgroup$ Jun 1 '20 at 21:22
  • $\begingroup$ You can use the code in windows too. $\endgroup$
    – nimar
    Jun 1 '20 at 21:23
  • $\begingroup$ Can me tell me how? I followed a video on youtube using cmake but it didn't work. $\endgroup$ Jun 1 '20 at 21:24
  • $\begingroup$ towardsdatascience.com/… $\endgroup$
    – nimar
    Jun 1 '20 at 21:39
  • $\begingroup$ Thank you for the help $\endgroup$ Jun 2 '20 at 4:39

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