tf-cpn
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strange results
Have anyone training this model on yourself datasets? I try to train it with my datasets, the results is below, when i trained about 46 epochs.
DONE (t=0.82s). Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.000 Average Precision (AP) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.000 Average Precision (AP) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.000 Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.000 Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 20 ] = 0.039 Average Recall (AR) @[ IoU=0.50 | area= all | maxDets= 20 ] = 0.063 Average Recall (AR) @[ IoU=0.75 | area= all | maxDets= 20 ] = 0.039 Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets= 20 ] = 0.037 Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets= 20 ] = 0.044