Models#
PocketPose provides a collection of pre-trained models for various tasks. You can use them directly for inference in your desktop or mobile applications.
The model zoo is still under construction. More details will be added soon.
Model |
Variant |
Inputs |
Outputs |
Precision |
Size (MB) |
FLOPs (M) |
Params (M) |
---|---|---|---|---|---|---|---|
baseline-50 |
256x192_17 |
3x192x256 |
17x48x64 |
1 |
32.83 |
8041.66 |
23.49 |
blazepose-full |
256x256_33 |
256x256x3 |
195, 1, 256x256x1, 64x64x39, 117 |
2 |
6.14 |
774.26 |
3.17 |
blazepose-heavy |
256x256_33 |
256x256x3 |
195, 1, 256x256x1, 64x64x39, 117 |
2 |
26.43 |
3858.81 |
13.75 |
blazepose-lite |
256x256_33 |
256x256x3 |
195, 1, 256x256x1, 64x64x39, 117 |
2 |
2.69 |
397.56 |
1.36 |
efficientpose-i |
256x256_16 |
256x256x3 |
32x32x28, 32x32x16, 32x32x16, 256x256x16 |
2 |
1.43 |
1495.89 |
0.69 |
efficientpose-i-lite |
256x256_16 |
256x256x3 |
256x256x16 |
2 |
1.1 |
1360 |
0.55 |
efficientpose-ii |
368x368_16 |
368x368x3 |
46x46x28, 46x46x16, 46x46x16, 368x368x16 |
2 |
3.37 |
7305.14 |
1.67 |
efficientpose-ii-lite |
368x368_16 |
368x368x3 |
368x368x16 |
2 |
2.74 |
6883.47 |
1.4 |
efficientpose-iii |
480x480_16 |
480x480x3 |
60x60x28, 60x60x16, 60x60x16, 480x480x16 |
2 |
6.24 |
22606.7 |
3.14 |
efficientpose-iv |
600x600_16 |
600x600x3 |
75x75x28, 75x75x16, 75x75x16, 600x600x16 |
2 |
12.56 |
71566.1 |
6.41 |
efficientpose-rt |
224x224_16 |
224x224x3 |
28x28x28, 28x28x16, 28x28x16, 224x224x16 |
2 |
0.92 |
739.09 |
0.43 |
efficientpose-rt-lite |
224x224_16 |
224x224x3 |
224x224x16 |
2 |
0.75 |
721.71 |
0.37 |
efficientposenas-a |
256x192_17 |
3x192x256 |
17x48x64 |
1 |
1.49 |
726.3 |
1.15 |
efficientposenas-b |
256x192_17 |
3x192x256 |
17x48x64 |
1 |
3.52 |
1980.43 |
3.03 |
efficientposenas-b |
256x256_16 |
3x256x256 |
16x64x64 |
1 |
3.52 |
2640.31 |
3.03 |
efficientposenas-c |
256x192_17 |
3x192x256 |
17x48x64 |
1 |
5.34 |
2681.48 |
4.77 |
efficientposenas-c |
256x256_16 |
3x256x256 |
16x64x64 |
1 |
5.34 |
3575.04 |
4.77 |
litehrnet-18 |
256x192_17 |
3x192x256 |
17x48x64 |
1 |
1.77 |
406.01 |
1.11 |
movenet-lightning |
192x192_17 |
192x192x3 |
1x17x3 |
4 |
8.94 |
541.61 |
2.32 |
movenet-lightning16 |
192x192_17 |
192x192x3 |
1x17x3 |
2 |
4.54 |
541.61 |
2.32 |
movenet-lightning8 |
192x192_17 |
192x192x3 |
1x17x3 |
1 |
2.76 |
541.61 |
2.32 |
movenet-thunder |
256x256_17 |
256x256x3 |
1x17x3 |
4 |
23.87 |
2440.7 |
6.23 |
movenet-thunder16 |
256x256_17 |
256x256x3 |
1x17x3 |
2 |
12 |
2440.7 |
6.23 |
movenet-thunder8 |
256x256_17 |
256x256x3 |
1x17x3 |
1 |
6.8 |
2440.7 |
6.23 |
posenet-mobilenet100 |
257x257_17 |
257x257x3 |
9x9x17, 9x9x34, 9x9x32, 9x9x32 |
4 |
12.65 |
1674.53 |
3.31 |
res50 |
256x192_17 |
3x192x256 |
17x48x64 |
1 |
32.83 |
8041.66 |
23.49 |
Model |
Variant |
Inputs |
Outputs |
Precision |
Size (MB) |
FLOPs (M) |
Params (M) |
---|---|---|---|---|---|---|---|
BlazePose |
Full |
256x256x3 |
195, 1, 256x256x1, 64x64x39, 117 |
2 |
6.14 |
774.26 |
3.17 |
BlazePose |
Heavy |
256x256x3 |
195, 1, 256x256x1, 64x64x39, 117 |
2 |
26.43 |
3858.81 |
13.75 |
BlazePose |
Lite |
256x256x3 |
195, 1, 256x256x1, 64x64x39, 117 |
2 |
2.69 |
397.56 |
1.36 |
EfficientPose |
A_COCO |
3x192x256 |
17x48x64 |
1 |
1.49 |
726.3 |
1.15 |
EfficientPose |
B_COCO |
3x192x256 |
17x48x64 |
1 |
3.52 |
1980.43 |
3.03 |
EfficientPose |
B_MPII |
3x256x256 |
16x64x64 |
1 |
3.52 |
2640.31 |
3.03 |
EfficientPose |
C_COCO |
3x192x256 |
17x48x64 |
1 |
5.34 |
2681.48 |
4.77 |
EfficientPose |
C_MPII |
3x256x256 |
16x64x64 |
1 |
5.34 |
3575.04 |
4.77 |
MoveNet |
MultiPose-Lightning-FP16 |
1x1x3 |
6x56 |
2 |
9.14 |
9.4 |
4.72 |
MoveNet |
SinglePose-Lightning |
192x192x3 |
1x17x3 |
4 |
8.94 |
541.61 |
2.32 |
MoveNet |
SinglePose-Lightning-FP16 |
192x192x3 |
1x17x3 |
2 |
4.54 |
541.61 |
2.32 |
MoveNet |
SinglePose-Lightning-INT8 |
192x192x3 |
1x17x3 |
1 |
2.76 |
541.61 |
2.32 |
MoveNet |
SinglePose-Thunder |
256x256x3 |
1x17x3 |
4 |
23.87 |
2440.7 |
6.23 |
MoveNet |
SinglePose-Thunder-FP16 |
256x256x3 |
1x17x3 |
2 |
12 |
2440.7 |
6.23 |
MoveNet |
SinglePose-Thunder-INT8 |
256x256x3 |
1x17x3 |
1 |
6.8 |
2440.7 |
6.23 |
PoseNet |
MobileNet-075 |
353x257x3 |
23x17x17, 23x17x34, 23x17x64, 23x17x1 |
4 |
4.82 |
1358.86 |
1.26 |
PoseNet |
MobileNet-100 |
257x257x3 |
9x9x17, 9x9x34, 9x9x32, 9x9x32 |
4 |
12.65 |
1674.53 |
3.31 |
litehrnet |
18_coco_256x192 |
3x192x256 |
17x48x64 |
1 |
1.77 |
406.01 |
1.11 |
litehrnet |
18_coco_384x288 |
3x288x384 |
17x72x96 |
1 |
1.77 |
913.26 |
1.11 |
litehrnet |
18_mpii_256x256 |
3x256x256 |
16x64x64 |
1 |
1.77 |
540.95 |
1.11 |
litehrnet |
30_coco_256x192 |
3x192x256 |
17x48x64 |
1 |
2.83 |
634.08 |
1.74 |
litehrnet |
30_coco_384x288 |
3x288x384 |
17x72x96 |
1 |
2.83 |
1426.24 |
1.74 |
litehrnet |
30_mpii_256x256 |
3x256x256 |
16x64x64 |
1 |
2.83 |
844.99 |
1.74 |