YOLOv3-PyTorch
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Published
20 hours ago •
Lornatang
Lornatang
when using mobilenet v2, the mAP is rather small and i didn't get the expected result.
Instructions To Reproduce the Issue:
- what changes you made (
git diff) or what code you wrote
i only changed the cfg file and weight file to mobilev2 in test.py
- what exact command you run:
python test.py - what you observed (including full logs): the mAP is rather small and i didn't get the expected result.
Class Images Targets P R [email protected] F1: 100%|████████████████████| 313/313 [00:50<00:00, 6.17it/s]
all 5e+03 3.58e+04 0.0144 0.0101 0.00985 0.0114
person 5e+03 1.09e+04 0.0377 0.000551 0.000341 0.00109
bicycle 5e+03 316 0.443 0.201 0.185 0.277
car 5e+03 1.67e+03 0 0 3.11e-06 0
motorbike 5e+03 391 0 0 7.81e-06 0
aeroplane 5e+03 131 0 0 0 0
bus 5e+03 261 0.653 0.575 0.6 0.611
train 5e+03 212 0 0 0.00012 0
truck 5e+03 352 0 0 9.77e-06 0
boat 5e+03 475 0 0 1.51e-05 0
traffic light 5e+03 516 0 0 0 0
fire hydrant 5e+03 83 0 0 6.15e-05 0
stop sign 5e+03 84 0 0 0 0
parking meter 5e+03 59 0 0 0 0
bench 5e+03 473 0 0 0.000213 0
bird 5e+03 469 0 0 7.56e-05 0
cat 5e+03 195 0.00279 0.00513 6.55e-05 0.00362
dog 5e+03 223 0.0126 0.0224 0.00196 0.0162
horse 5e+03 305 0 0 3.03e-06 0
sheep 5e+03 321 0 0 0 0
cow 5e+03 384 0 0 7.31e-07 0
elephant 5e+03 284 0 0 0 0
bear 5e+03 53 0 0 0 0
zebra 5e+03 277 0 0 0 0
giraffe 5e+03 170 0 0 0 0
backpack 5e+03 384 0 0 0 0
umbrella 5e+03 392 0 0 0 0
handbag 5e+03 483 0 0 0 0
tie 5e+03 297 0 0 0 0
suitcase 5e+03 310 0 0 0 0
frisbee 5e+03 109 0 0 0 0
skis 5e+03 282 0 0 0 0
snowboard 5e+03 92 0 0 0 0
sports ball 5e+03 236 0 0 0 0
kite 5e+03 399 0 0 0 0
baseball bat 5e+03 125 0 0 0 0
baseball glove 5e+03 139 0 0 0 0
skateboard 5e+03 218 0 0 0 0
surfboard 5e+03 266 0 0 0 0
tennis racket 5e+03 183 0 0 0 0
bottle 5e+03 966 0 0 0 0
wine glass 5e+03 366 0 0 0 0
cup 5e+03 897 0 0 0 0
fork 5e+03 234 0 0 0 0
knife 5e+03 291 0 0 0 0
spoon 5e+03 253 0 0 0 0
bowl 5e+03 620 0 0 0 0
banana 5e+03 371 0 0 0 0
apple 5e+03 158 0 0 0 0
sandwich 5e+03 160 0 0 0 0
orange 5e+03 189 0 0 0 0
broccoli 5e+03 332 0 0 0 0
carrot 5e+03 346 0 0 0 0
hot dog 5e+03 164 0 0 0 0
pizza 5e+03 224 0 0 0 0
donut 5e+03 237 0 0 0 0
cake 5e+03 241 0 0 0 0
chair 5e+03 1.62e+03 0 0 0 0
sofa 5e+03 236 0 0 0 0
pottedplant 5e+03 431 0 0 0 0
bed 5e+03 195 0 0 0 0
diningtable 5e+03 634 0 0 0 0
toilet 5e+03 179 0 0 0 0
tvmonitor 5e+03 257 0 0 0 0
laptop 5e+03 237 0 0 0 0
mouse 5e+03 95 0 0 0 0
remote 5e+03 241 0 0 0 0
keyboard 5e+03 117 0 0 0 0
cell phone 5e+03 291 0 0 0 0
microwave 5e+03 88 0 0 0 0
oven 5e+03 142 0 0 0 0
toaster 5e+03 11 0 0 0 0
sink 5e+03 211 0 0 0 0
refrigerator 5e+03 107 0 0 0 0
book 5e+03 1.08e+03 0 0 0 0
clock 5e+03 292 0 0 0 0
vase 5e+03 353 0 0 0 0
scissors 5e+03 56 0 0 0 0
teddy bear 5e+03 245 0 0 0 0
hair drier 5e+03 11 0 0 0 0
toothbrush 5e+03 77 0 0 0 0
/home/dsd/local/venv/lib/python3.8/site-packages/torch/cuda/memory.py:344: FutureWarning: torch.cuda.memory_cached has been renamed to torch.cuda.memory_reserved
warnings.warn(
Inference menory: 1.4 GB.
Speed:
Image size: (416x416) at batch_size: 8
- Inference 3.7ms.
- NMS 3.8ms.
- Total 7.5ms.
