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I'm having trouble with predictions using a custom-trained graph converted from tensorflow tiny-yolo-v2 to NCS graph.
I trained a 1-class classifier and I modified the run.py example and adapt it from 20 to 1 class. (Only modified all the 125 instances to 30 for filters and the value 20 to 1 for classes)
The example is running but it returns a very bizarre response.
I tried the custom-trained model before conversion and is working perfectly. It returns a very good result on predictions, the compiled graph is giving hundred of invalid boxes and not a single one corresponds to ground-truth.
Is there anything that has to be done before compiling? Why is my model not working on the graph. Why is the graph not working but the original .pb does.
I used this command to compile
mvNCCompile -o output/ncs_tiny_yolo_v2.graph built_graph/tiny-yolo-voc-1c.pb -s 12