When I ran the following: python3 eval_ssd.py --net=mb1-ssd --trained_model=models/weeds/mb1-ssd-Epoch-94-Loss-inf.pth --dataset=data/weeds_crops_flips_voc --label_file=models/weeds/labels.txt
I got this messages:
process image 108
Load Image: 0.009654 seconds.
Inference time: 0.028708696365356445
Prediction: 0.196644 seconds.
process image 109
Load Image: 0.009927 seconds.
Inference time: 0.029082536697387695
Prediction: 0.246111 seconds.
Average Precision Per-class:
Ambr_box: 0.46374420458803794
Can_box: 0.18316823301583887
Average Precision Across All Classes: 0.3234562188019384
How to find out mAP and FPS from this?
I’m new to deep learning, please help me