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This is a collection of image classification, segmentation, detection, pose estimation, video inpainting models. Many of
them are pretrained on
ImageNet-1K, CIFAR-10/100,
SVHN, CUB-200-2011,
Pascal VOC2012, ADE20K,
Cityscapes, and COCO datasets and loaded automatically
during use. All pretrained models require the same ordinary normalization. Scripts for training/evaluating/converting
models are in the imgclsmob
repo.
To use the models in your project, simply install the pytorchcv
:
pip install pytorchcv
To enable/disable different hardware supports such as GPUs, check out PyTorch installation instructions.
Some models require additional specific packages to work. For example, ASR models require the librosa
package.
Example of using a pretrained ResNet-18 model:
from pytorchcv.model_provider import get_model as ptcv_get_model
import torch
from torch.autograd import Variable
net = ptcv_get_model("resnet18", pretrained=True)
x = Variable(torch.randn(1, 3, 224, 224))
y = net(x)
Some remarks:
Converted from GL model
means that the model was trained on MXNet/Gluon
and then converted to PyTorch.Resize
transformation instead of PIL one quality evaluation results will be similar to ones for the Gluon models.Model | Top1 | Top5 | Params | FLOPs/2 | Remarks |
---|---|---|---|---|---|
AlexNet | 38.50 | 16.64 | 62,378,344 | 1,132.33M | Converted from GL model (log) |
AlexNet-b | 39.74 | 17.47 | 61,100,840 | 714.83M | Converted from GL model (log) |
ZFNet | 39.79 | 17.27 | 62,357,608 | 1,170.33M | Converted from GL model (log) |
ZFNet-b | 36.37 | 14.90 | 107,627,624 | 2,479.13M | Converted from GL model (log) |
VGG-11 | 29.90 | 10.36 | 132,863,336 | 7,615.87M | Converted from GL model (log) |
VGG-13 | 28.76 | 9.75 | 133,047,848 | 11,317.65M | Converted from GL model (log) |
VGG-16 | 26.98 | 8.65 | 138,357,544 | 15,480.10M | Converted from GL model (log) |
VGG-19 | 25.74 | 7.90 | 143,667,240 | 19,642.55M | Converted from GL model (log) |
BN-VGG-11 | 29.01 | 9.61 | 132,866,088 | 7,630.21M | Converted from GL model (log) |
BN-VGG-13 | 27.83 | 9.13 | 133,050,792 | 11,341.62M | Converted from GL model (log) |
BN-VGG-16 | 25.72 | 7.79 | 138,361,768 | 15,506.38M | Converted from GL model (log) |
BN-VGG-19 | 24.13 | 7.12 | 143,672,744 | 19,671.15M | Converted from GL model (log) |
BN-VGG-11b | 29.56 | 9.96 | 132,868,840 | 7,630.72M | Converted from GL model (log) |
BN-VGG-13b | 28.47 | 9.24 | 133,053,736 | 11,342.14M | Converted from GL model (log) |
BN-VGG-16b | 25.97 | 7.95 | 138,365,992 | 15,507.20M | Converted from GL model (log) |
BN-VGG-19b | 25.13 | 7.46 | 143,678,248 | 19,672.26M | Converted from GL model (log) |
BN-Inception | 25.37 | 7.74 | 11,295,240 | 2,048.06M | Converted from GL model (log) |
ResNet-10 | 32.43 | 12.53 | 5,418,792 | 894.04M | Converted from GL model (log) |
ResNet-12 | 32.10 | 12.23 | 5,492,776 | 1,126.25M | Converted from GL model (log) |
ResNet-14 | 30.51 | 11.09 | 5,788,200 | 1,357.94M | Converted from GL model (log) |
ResNet-BC-14b | 29.43 | 10.74 | 10,064,936 | 1,479.12M | Converted from GL model (log) |
ResNet-16 | 28.74 | 10.09 | 6,968,872 | 1,589.34M | Converted from GL model (log) |
ResNet-18 x0.25 | 39.62 | 17.85 | 3,937,400 | 270.94M | Converted from GL model (log) |
ResNet-18 x0.5 | 33.80 | 13.27 | 5,804,296 | 608.70M | Converted from GL model (log) |
ResNet-18 x0.75 | 30.40 | 11.06 | 8,476,056 | 1,129.45M | Converted from GL model (log) |
ResNet-18 | 26.94 | 8.96 | 11,689,512 | 1,820.41M | Converted from GL model (log) |
ResNet-26 | 26.16 | 8.49 | 17,960,232 | 2,746.79M | Converted from GL model (log) |
ResNet-BC-26b | 25.09 | 7.97 | 15,995,176 | 2,356.67M | Converted from GL model (log) |
ResNet-34 | 24.84 | 7.80 | 21,797,672 | 3,672.68M | Converted from GL model (log) |
ResNet-BC-38b | 23.69 | 7.00 | 21,925,416 | 3,234.21M | Converted from GL model (log) |
ResNet-50 | 22.28 | 6.33 | 25,557,032 | 3,877.95M | Converted from GL model (log) |
ResNet-50b | 22.39 | 6.38 | 25,557,032 | 4,110.48M | Converted from GL model (log) |
ResNet-101 | 20.79 | 5.40 | 44,549,160 | 7,597.95M | Converted from GL model (log) |
ResNet-101b | 20.59 | 5.30 | 44,549,160 | 7,830.48M | Converted from GL model (log) |
ResNet-152 | 19.29 | 4.68 | 60,192,808 | 11,321.85M | Converted from GL model (log) |
ResNet-152b | 19.01 | 4.45 | 60,192,808 | 11,554.38M | Converted from GL model (log) |
PreResNet-10 | 35.11 | 14.21 | 5,417,128 | 894.19M | Converted from GL model (log) |
PreResNet-12 | 33.86 | 13.48 | 5,491,112 | 1,126.40M | Converted from GL model (log) |
PreResNet-14 | 32.64 | 12.39 | 5,786,536 | 1,358.09M | Converted from GL model (log) |
PreResNet-BC-14b | 31.29 | 11.81 | 10,057,384 | 1,476.62M | Converted from GL model (log) |
PreResNet-16 | 30.53 | 11.08 | 6,967,208 | 1,589.49M | Converted from GL model (log) |
PreResNet-18 x0.25 | 40.06 | 18.11 | 3,935,960 | 270.93M | Converted from GL model (log) |
PreResNet-18 x0.5 | 34.00 | 13.40 | 5,802,440 | 608.73M | Converted from GL model (log) |
PreResNet-18 x0.75 | 30.23 | 11.05 | 8,473,784 | 1,129.51M | Converted from GL model (log) |
PreResNet-18 | 28.43 | 9.72 | 11,687,848 | 1,820.56M | Converted from GL model (log) |
PreResNet-26 | 26.33 | 8.51 | 17,958,568 | 2,746.94M | Converted from GL model (log) |
PreResNet-BC-26b | 25.48 | 8.03 | 15,987,624 | 2,354.16M | Converted from GL model (log) |
PreResNet-34 | 24.89 | 7.74 | 21,796,008 | 3,672.83M | Converted from GL model (log) |
PreResNet-BC-38b | 22.92 | 6.57 | 21,917,864 | 3,231.70M | Converted from GL model (log) |
PreResNet-50 | 22.40 | 6.47 | 25,549,480 | 3,875.44M | Converted from GL model (log) |
PreResNet-50b | 22.51 | 6.55 | 25,549,480 | 4,107.97M | Converted from GL model (log) |
PreResNet-101 | 20.81 | 5.63 | 44,541,608 | 7,595.44M | Converted from GL model (log) |
PreResNet-101b | 21.04 | 5.56 | 44,541,608 | 7,827.97M | Converted from GL model (log) |
PreResNet-152 | 19.36 | 4.64 | 60,185,256 | 11,319.34M | Converted from GL model (log) |
PreResNet-152b | 19.23 | 4.59 | 60,185,256 | 11,551.87M | Converted from GL model (log) |
PreResNet-200b | 19.07 | 4.68 | 64,666,280 | 15,068.63M | Converted from GL model (log) |
PreResNet-269b | 20.35 | 5.27 | 102,065,832 | 20,101.11M | Converted from GL model (log) |
ResNeXt-14 (16x4d) | 31.94 | 12.48 | 7,127,336 | 1,045.77M | Converted from GL model (log) |
ResNeXt-14 (32x2d) | 32.58 | 12.81 | 7,029,416 | 1,031.32M | Converted from GL model (log) |
ResNeXt-14 (32x4d) | 30.32 | 11.46 | 9,411,880 | 1,603.46M | Converted from GL model (log) |
ResNeXt-26 (32x2d) | 26.63 | 8.87 | 9,924,136 | 1,461.06M | Converted from GL model (log) |
ResNeXt-26 (32x4d) | 24.14 | 7.46 | 15,389,480 | 2,488.07M | Converted from GL model (log) |
ResNeXt-50 (32x4d) | 21.08 | 5.60 | 25,028,904 | 4,255.86M | Converted from GL model (log) |
ResNeXt-101 (32x4d) | 18.78 | 4.34 | 44,177,704 | 8,003.45M | Converted from GL model (log) |
ResNeXt-101 (64x4d) | 19.08 | 4.52 | 83,455,272 | 15,500.27M | Converted from GL model (log) |
SE-ResNet-10 | 31.76 | 12.02 | 5,463,332 | 894.27M | Converted from GL model (log) |
SE-ResNet-12 | 31.93 | 12.00 | 5,537,896 | 1,126.58M | Converted from GL model (log) |
SE-ResNet-14 | 30.73 | 11.28 | 5,835,504 | 1,358.33M | Converted from GL model (log) |
SE-ResNet-16 | 28.72 | 9.98 | 7,024,640 | 1,589.76M | Converted from GL model (log) |
SE-ResNet-18 | 28.18 | 9.61 | 11,778,592 | 1,820.88M | Converted from GL model (log) |
SE-ResNet-26 | 25.67 | 8.24 | 18,093,852 | 2,747.49M | Converted from GL model (log) |
SE-ResNet-BC-26b | 23.59 | 7.03 | 17,395,976 | 2,359.58M | Converted from GL model (log) |
SE-ResNet-BC-38b | 21.60 | 5.95 | 24,026,616 | 3,238.58M | Converted from GL model (log) |
SE-ResNet-50 | 21.22 | 5.75 | 28,088,024 | 3,883.25M | Converted from GL model (log) |
SE-ResNet-50b | 20.79 | 5.39 | 28,088,024 | 4,115.78M | Converted from GL model (log) |
SE-ResNet-101 | 19.24 | 4.60 | 49,326,872 | 7,602.76M | Converted from GL model (log) |
SE-ResNet-101b | 19.70 | 4.87 | 49,326,872 | 7,839.75M | Converted from GL model (log) |
SE-ResNet-152 | 18.72 | 4.39 | 66,821,848 | 11,328.52M | Converted from GL model (log) |
SE-PreResNet-10 | 32.83 | 12.57 | 5,461,668 | 894.42M | Converted from GL model (log) |
SE-PreResNet-12 | 32.07 | 12.03 | 5,536,232 | 1,126.73M | Converted from GL model (log) |
SE-PreResNet-16 | 28.77 | 9.75 | 7,022,976 | 1,589.91M | Converted from GL model (log) |
SE-PreResNet-18 | 27.43 | 9.09 | 11,776,928 | 1,821.03M | Converted from GL model (log) |
SE-PreResNet-26 | 26.20 | 8.22 | 18,092,188 | 2,747.64M | Converted from GL model (log) |
SE-PreResNet-BC-26b | 23.22 | 6.60 | 17,388,424 | 2,357.07M | Converted from GL model (log) |
SE-PreResNet-BC-38b | 21.60 | 5.78 | 24,019,064 | 3,236.07M | Converted from GL model (log) |
SE-PreResNet-50b | 20.85 | 5.49 | 28,080,472 | 4,113.27M | Converted from GL model (log) |
SE-ResNeXt-50 (32x4d) | 18.94 | 4.51 | 27,559,896 | 4,261.16M | Converted from GL model (log) |
SE-ResNeXt-101 (32x4d) | 19.36 | 4.67 | 48,955,416 | 8,012.73M | Converted from GL model (log) |
SE-ResNeXt-101 (64x4d) | 18.66 | 4.28 | 88,232,984 | 15,509.54M | Converted from GL model (log) |
SENet-16 | 25.65 | 8.20 | 31,366,168 | 5,081.30M | Converted from GL model (log) |
SENet-28 | 21.94 | 5.98 | 36,453,768 | 5,732.71M | Converted from GL model (log) |
SENet-154 | 18.85 | 4.55 | 115,088,984 | 20,745.78M | Converted from GL model (log) |
ResNeSt(A)-BC-14 | 22.46 | 6.47 | 10,611,688 | 2,767.37M | Converted from GL model (log) |
ResNeSt(A)-18 | 23.68 | 7.07 | 12,763,784 | 2,587.50M | Converted from GL model (log) |
ResNeSt(A)-BC-26 | 19.56 | 4.76 | 17,069,448 | 3,646.57M | Converted from GL model (log) |
ResNeSt(A)-50 | 19.00 | 4.49 | 27,483,240 | 5,403.11M | Converted from GL model (log) |
ResNeSt(A)-101 | 17.83 | 4.03 | 48,275,016 | 10,247.88M | From dmlc/gluon-cv (log) |
ResNeSt(A)-152 | 18.87 | 4.63 | 65,316,040 | 13,976.34M | Converted from GL model (log) |
ResNeSt(A)-200 | 16.87 | 3.39 | 70,201,544 | 22,857.88M | From dmlc/gluon-cv (log) |
ResNeSt(A)-269 | 16.47 | 3.38 | 110,929,480 | 46,012.95M | From dmlc/gluon-cv (log) |
IBN-ResNet-50 | 21.61 | 5.76 | 25,557,032 | 4,110.48M | Converted from GL model (log) |
IBN-ResNet-101 | 19.97 | 5.07 | 44,549,160 | 7,830.48M | Converted from GL model (log) |
IBN(b)-ResNet-50 | 21.79 | 5.97 | 25,558,568 | 4,112.89M | Converted from GL model (log) |
IBN-ResNeXt-101 (32x4d) | 20.10 | 5.12 | 44,177,704 | 8,003.45M | Converted from GL model (log) |
IBN-DenseNet-121 | 23.58 | 6.73 | 7,978,856 | 2,872.13M | Converted from GL model (log) |
IBN-DenseNet-169 | 22.42 | 6.19 | 14,149,480 | 3,403.89M | Converted from GL model (log) |
AirNet50-1x64d (r=2) | 20.63 | 5.32 | 27,425,864 | 4,772.11M | Converted from GL model (log) |
AirNet50-1x64d (r=16) | 21.24 | 5.60 | 25,714,952 | 4,399.97M | Converted from GL model (log) |
AirNeXt50-32x4d (r=2) | 20.14 | 5.15 | 27,604,296 | 5,339.58M | Converted from GL model (log) |
BAM-ResNet-50 | 20.91 | 5.47 | 25,915,099 | 4,196.09M | Converted from GL model (log) |
CBAM-ResNet-50 | 20.17 | 5.05 | 28,089,624 | 4,116.97M | Converted from GL model (log) |
SCNet-50 | 21.22 | 5.47 | 25,564,584 | 3,951.06M | Converted from GL model (log) |
SCNet-101 | 19.91 | 4.84 | 44,565,416 | 7,204.24M | Converted from GL model (log) |
SCNet(A)-50 | 19.53 | 4.68 | 25,583,816 | 4,715.84M | From MCG-NKU/SCNet (log) |
RegNetX-200MF | 30.20 | 10.66 | 2,684,792 | 203.33M | Converted from GL model (log) |
RegNetX-400MF | 26.44 | 8.66 | 5,157,512 | 403.45M | Converted from GL model (log) |
RegNetX-600MF | 24.96 | 7.91 | 6,196,040 | 608.37M | Converted from GL model (log) |
RegNetX-800MF | 24.21 | 7.40 | 7,259,656 | 809.49M | Converted from GL model (log) |
RegNetX-1.6GF | 22.44 | 6.37 | 9,190,136 | 1,618.99M | Converted from GL model (log) |
RegNetX-3.2GF | 21.48 | 5.92 | 15,296,552 | 3,199.55M | Converted from GL model (log) |
RegNetX-4.0GF | 19.69 | 4.88 | 22,118,248 | 3,986.29M | Converted from GL model (log) |
RegNetX-6.4GF | 19.50 | 4.68 | 26,209,256 | 6,491.01M | Converted from GL model (log) |
RegNetX-8.0GF | 19.75 | 4.86 | 39,572,648 | 8,017.94M | Converted from GL model (log) |
RegNetX-12GF | 20.02 | 5.32 | 46,106,056 | 12,124.22M | Converted from GL model (log) |
RegNetX-16GF | 19.29 | 4.77 | 54,278,536 | 15,986.64M | Converted from GL model (log) |
RegNetX-32GF | 18.00 | 4.13 | 107,811,560 | 31,790.24M | Converted from GL model (log) |
RegNetY-200MF | 28.66 | 9.80 | 3,162,996 | 203.99M | Converted from GL model (log) |
RegNetY-400MF | 25.02 | 7.69 | 4,344,144 | 410.35M | Converted from GL model (log) |
RegNetY-600MF | 23.79 | 7.12 | 6,055,160 | 610.37M | Converted from GL model (log) |
RegNetY-800MF | 22.67 | 6.60 | 6,263,168 | 808.62M | Converted from GL model (log) |
RegNetY-1.6GF | 21.41 | 5.81 | 11,202,430 | 1,629.48M | Converted from GL model (log) |
RegNetY-3.2GF | 18.04 | 4.04 | 19,436,338 | 3,199.15M | From rwightman/pyt...models (log) |
RegNetY-4.0GF | 19.56 | 4.70 | 20,646,656 | 3,999.16M | Converted from GL model (log) |
RegNetY-6.4GF | 19.03 | 4.56 | 30,583,252 | 6,388.91M | Converted from GL model (log) |
RegNetY-8.0GF | 18.91 | 4.48 | 39,180,068 | 7,996.54M | Converted from GL model (log) |
RegNetY-12GF | 18.67 | 4.42 | 51,822,544 | 12,132.55M | Converted from GL model (log) |
RegNetY-16GF | 18.82 | 4.44 | 83,590,140 | 15,944.53M | Converted from GL model (log) |
RegNetY-32GF | 17.92 | 3.83 | 145,046,770 | 32,317.66M | Converted from GL model (log) |
PyramidNet-101 (a=360) | 20.53 | 5.43 | 42,455,070 | 8,743.54M | Converted from GL model (log) |
DiracNetV2-18 | 31.47 | 11.70 | 11,511,784 | 1,796.62M | From szagoruyko/diracnets (log) |
DiracNetV2-34 | 28.75 | 9.93 | 21,616,232 | 3,646.93M | From szagoruyko/diracnets (log) |
DenseNet-121 | 23.48 | 7.04 | 7,978,856 | 2,872.13M | Converted from GL model (log) |
DenseNet-161 | 21.91 | 6.06 | 28,681,000 | 7,793.16M | Converted from GL model (log) |
DenseNet-169 | 22.42 | 6.29 | 14,149,480 | 3,403.89M | Converted from GL model (log) |
DenseNet-201 | 21.78 | 6.12 | 20,013,928 | 4,347.15M | Converted from GL model (log) |
CondenseNet-74 (C=G=4) | 26.25 | 8.28 | 4,773,944 | 546.06M | From ShichenLiu/CondenseNet (log) |
CondenseNet-74 (C=G=8) | 28.93 | 10.06 | 2,935,416 | 291.52M | From ShichenLiu/CondenseNet (log) |
PeleeNet | 29.41 | 10.04 | 2,802,248 | 514.87M | Converted from GL model (log) |
WRN-50-2 | 22.25 | 6.26 | 68,849,128 | 11,405.42M | Converted from GL model (log) |
DRN-C-26 | 24.61 | 7.23 | 21,126,584 | 16,993.90M | Converted from GL model (log) |
DRN-C-42 | 22.37 | 6.28 | 31,234,744 | 25,093.75M | Converted from GL model (log) |
DRN-C-58 | 20.65 | 5.27 | 40,542,008 | 32,489.94M | Converted from GL model (log) |
DRN-D-22 | 24.86 | 7.58 | 16,393,752 | 13,051.33M | Converted from GL model (log) |
DRN-D-38 | 22.94 | 6.43 | 26,501,912 | 21,151.19M | Converted from GL model (log) |
DRN-D-54 | 20.40 | 5.17 | 35,809,176 | 28,547.38M | Converted from GL model (log) |
DRN-D-105 | 19.87 | 5.01 | 54,801,304 | 43,442.43M | Converted from GL model (log) |
DPN-68 | 23.24 | 6.79 | 12,611,602 | 2,351.84M | Converted from GL model (log) |
DPN-98 | 18.44 | 4.30 | 61,570,728 | 11,716.51M | Converted from GL model (log) |
DPN-131 | 19.62 | 5.03 | 79,254,504 | 16,076.15M | Converted from GL model (log) |
DarkNet Tiny | 40.74 | 17.84 | 1,042,104 | 500.85M | Converted from GL model (log) |
DarkNet Ref | 38.58 | 17.18 | 7,319,416 | 367.59M | Converted from GL model (log) |
DarkNet-53 | 21.33 | 5.58 | 41,609,928 | 7,133.86M | Converted from GL model (log) |
i-RevNet-301 | 24.31 | 7.52 | 125,120,356 | 14,453.87M | Converted from GL model (log) |
BagNet-9 | 49.15 | 25.76 | 15,688,744 | 16,049.19M | Converted from GL model (log) |
BagNet-17 | 36.88 | 15.51 | 16,213,032 | 15,768.77M | Converted from GL model (log) |
BagNet-33 | 29.82 | 10.70 | 18,310,184 | 16,371.52M | Converted from GL model (log) |
DLA-34 | 24.59 | 7.24 | 15,742,104 | 3,071.37M | Converted from GL model (log) |
DLA-46-C | 34.28 | 13.23 | 1,301,400 | 585.45M | Converted from GL model (log) |
DLA-X-46-C | 33.26 | 12.69 | 1,068,440 | 546.72M | Converted from GL model (log) |
DLA-60 | 21.47 | 5.70 | 22,036,632 | 4,255.49M | Converted from GL model (log) |
DLA-X-60 | 21.07 | 5.75 | 17,352,344 | 3,543.68M | Converted from GL model (log) |
DLA-X-60-C | 30.98 | 10.91 | 1,319,832 | 596.06M | Converted from GL model (log) |
DLA-102 | 20.69 | 5.37 | 33,268,888 | 7,190.95M | Converted from GL model (log) |
DLA-X-102 | 19.70 | 4.88 | 26,309,272 | 5,884.94M | Converted from GL model (log) |
DLA-X2-102 | 18.84 | 4.37 | 41,282,200 | 9,340.61M | Converted from GL model (log) |
DLA-169 | 19.39 | 4.71 | 53,389,720 | 11,593.20M | Converted from GL model (log) |
FishNet-150 | 19.26 | 4.75 | 24,959,400 | 6,435.05M | Converted from GL model (log) |
ESPNetv2 x0.5 | 42.32 | 20.15 | 1,241,332 | 35.36M | From sacmehta/ESPNetv2 (log) |
ESPNetv2 x1.0 | 33.92 | 13.45 | 1,670,072 | 98.09M | From sacmehta/ESPNetv2 (log) |
ESPNetv2 x1.25 | 32.06 | 12.18 | 1,965,440 | 138.18M | From sacmehta/ESPNetv2 (log) |
ESPNetv2 x1.5 | 30.19 | 11.08 | 2,314,856 | 185.77M | Converted from GL model (log) |
ESPNetv2 x2.0 | 27.94 | 9.61 | 3,498,136 | 306.93M | From sacmehta/ESPNetv2 (log) |
DiCENet x0.2 | 53.91 | 29.38 | 1,130,704 | 18.76M | From sacmehta/EdgeNets (log) |
DiCENet x0.5 | 46.16 | 22.58 | 1,214,120 | 30.48M | From sacmehta/EdgeNets (log) |
DiCENet x0.75 | 37.06 | 15.74 | 1,495,676 | 55.80M | From sacmehta/EdgeNets (log) |
DiCENet x1.0 | 33.59 | 13.25 | 1,805,604 | 82.17M | From sacmehta/EdgeNets (log) |
DiCENet x1.25 | 32.26 | 12.40 | 2,162,888 | 111.87M | From sacmehta/EdgeNets (log) |
DiCENet x1.5 | 30.55 | 11.23 | 2,652,200 | 151.81M | From sacmehta/EdgeNets (log) |
DiCENet x1.75 | 29.76 | 10.62 | 3,264,932 | 201.26M | From sacmehta/EdgeNets (log) |
DiCENet x2.0 | 27.93 | 9.45 | 3,979,044 | 257.95M | Converted from GL model (log) |
HRNet-W18 Small V1 | 26.48 | 9.01 | 13,187,464 | 1,615.00M | Converted from GL model (log) |
HRNet-W18 Small V2 | 21.93 | 6.18 | 15,597,464 | 2,618.84M | Converted from GL model (log) |
HRNetV2-W18 | 20.20 | 5.12 | 21,299,004 | 4,323.07M | Converted from GL model (log) |
HRNetV2-W30 | 20.35 | 5.21 | 37,712,220 | 8,156.82M | Converted from GL model (log) |
HRNetV2-W32 | 19.96 | 5.06 | 41,232,680 | 8,974.04M | Converted from GL model (log) |
HRNetV2-W40 | 19.84 | 4.93 | 57,557,160 | 12,752.26M | Converted from GL model (log) |
HRNetV2-W44 | 19.74 | 5.01 | 67,064,984 | 14,946.96M | Converted from GL model (log) |
HRNetV2-W48 | 19.67 | 5.00 | 77,469,864 | 17,345.39M | Converted from GL model (log) |
HRNetV2-W64 | 19.67 | 4.87 | 128,059,944 | 28,976.42M | Converted from GL model (log) |
VoVNet-27-slim | 29.78 | 9.97 | 3,525,736 | 2,187.25M | Converted from GL model (log) |
VoVNet-39 | 21.71 | 5.64 | 22,600,296 | 7,086.16M | Converted from GL model (log) |
VoVNet-57 | 20.33 | 5.18 | 36,640,296 | 8,943.09M | Converted from GL model (log) |
SelecSLS-42b | 21.93 | 6.11 | 32,458,248 | 2,980.62M | Converted from GL model (log) |
SelecSLS-60 | 20.35 | 5.29 | 30,670,768 | 3,591.78M | Converted from GL model (log) |
SelecSLS-60b | 20.85 | 5.59 | 32,774,064 | 3,629.14M | Converted from GL model (log) |
HarDNet-39DS | 26.83 | 8.81 | 3,488,228 | 437.52M | Converted from GL model (log) |
HarDNet-68DS | 24.55 | 7.56 | 4,180,602 | 788.86M | Converted from GL model (log) |
HarDNet-68 | 23.51 | 6.99 | 17,565,348 | 4,256.32M | From PingoLH/Pytorch-HarDNet (log) |
HarDNet-85 | 22.00 | 5.86 | 36,670,212 | 9,088.58M | Converted from GL model (log) |
SqueezeNet v1.0 | 39.29 | 17.66 | 1,248,424 | 823.67M | Converted from GL model (log) |
SqueezeNet v1.1 | 39.31 | 17.72 | 1,235,496 | 352.02M | Converted from GL model (log) |
SqueezeResNet v1.0 | 39.77 | 18.09 | 1,248,424 | 823.67M | Converted from GL model (log) |
SqueezeResNet v1.1 | 40.09 | 18.21 | 1,235,496 | 352.02M | Converted from GL model (log) |
1.0-SqNxt-23 | 42.51 | 19.06 | 724,056 | 287.28M | Converted from GL model (log) |
1.0-SqNxt-23v5 | 40.77 | 17.85 | 921,816 | 285.82M | Converted from GL model (log) |
1.5-SqNxt-23 | 34.89 | 13.50 | 1,511,824 | 552.39M | Converted from GL model (log) |
1.5-SqNxt-23v5 | 33.81 | 13.01 | 1,953,616 | 550.97M | Converted from GL model (log) |
2.0-SqNxt-23 | 30.62 | 11.00 | 2,583,752 | 898.48M | Converted from GL model (log) |
2.0-SqNxt-23v5 | 29.63 | 10.66 | 3,366,344 | 897.60M | Converted from GL model (log) |
ShuffleNet x0.25 (g=1) | 62.44 | 37.29 | 209,746 | 12.35M | Converted from GL model (log) |
ShuffleNet x0.25 (g=3) | 61.74 | 36.53 | 305,902 | 13.09M | Converted from GL model (log) |
ShuffleNet x0.5 (g=1) | 46.59 | 22.61 | 534,484 | 41.16M | Converted from GL model (log) |
ShuffleNet x0.5 (g=3) | 44.16 | 20.80 | 718,324 | 41.70M | Converted from GL model (log) |
ShuffleNet x0.75 (g=1) | 39.58 | 17.11 | 975,214 | 86.42M | Converted from GL model (log) |
ShuffleNet x0.75 (g=3) | 38.20 | 16.50 | 1,238,266 | 85.82M | Converted from GL model (log) |
ShuffleNet x1.0 (g=1) | 34.93 | 13.89 | 1,531,936 | 148.13M | Converted from GL model (log) |
ShuffleNet x1.0 (g=2) | 34.25 | 13.63 | 1,733,848 | 147.60M | Converted from GL model (log) |
ShuffleNet x1.0 (g=3) | 34.39 | 13.48 | 1,865,728 | 145.46M | Converted from GL model (log) |
ShuffleNet x1.0 (g=4) | 34.19 | 13.35 | 1,968,344 | 143.33M | Converted from GL model (log) |
ShuffleNet x1.0 (g=8) | 34.06 | 13.42 | 2,434,768 | 150.76M | Converted from GL model (log) |
ShuffleNetV2 x0.5 | 40.99 | 18.65 | 1,366,792 | 43.31M | Converted from GL model (log) |
ShuffleNetV2 x1.0 | 31.44 | 11.63 | 2,278,604 | 149.72M | Converted from GL model (log) |
ShuffleNetV2 x1.5 | 27.47 | 9.42 | 4,406,098 | 320.77M | Converted from GL model (log) |
ShuffleNetV2 x2.0 | 25.94 | 8.45 | 7,601,686 | 595.84M | Converted from GL model (log) |
ShuffleNetV2b x0.5 | 40.29 | 18.22 | 1,366,792 | 43.31M | Converted from GL model (log) |
ShuffleNetV2b x1.0 | 30.62 | 11.25 | 2,279,760 | 150.62M | Converted from GL model (log) |
ShuffleNetV2b x1.5 | 27.31 | 9.11 | 4,410,194 | 323.98M | Converted from GL model (log) |
ShuffleNetV2b x2.0 | 25.58 | 8.34 | 7,611,290 | 603.37M | Converted from GL model (log) |
108-MENet-8x1 (g=3) | 43.94 | 20.76 | 654,516 | 42.68M | Converted from GL model (log) |
128-MENet-8x1 (g=4) | 42.43 | 19.59 | 750,796 | 45.98M | Converted from GL model (log) |
160-MENet-8x1 (g=8) | 43.84 | 20.84 | 850,120 | 45.63M | Converted from GL model (log) |
228-MENet-12x1 (g=3) | 34.11 | 13.16 | 1,806,568 | 152.93M | Converted from GL model (log) |
256-MENet-12x1 (g=4) | 32.65 | 12.52 | 1,888,240 | 150.65M | Converted from GL model (log) |
348-MENet-12x1 (g=3) | 28.24 | 9.58 | 3,368,128 | 312.00M | Converted from GL model (log) |
352-MENet-12x1 (g=8) | 31.56 | 12.00 | 2,272,872 | 157.35M | Converted from GL model (log) |
456-MENet-24x1 (g=3) | 25.32 | 7.99 | 5,304,784 | 567.90M | Converted from GL model (log) |
MobileNet x0.25 | 46.26 | 22.49 | 470,072 | 44.09M | Converted from GL model (log) |
MobileNet x0.5 | 34.15 | 13.55 | 1,331,592 | 155.42M | Converted from GL model (log) |
MobileNet x0.75 | 30.14 | 10.76 | 2,585,560 | 333.99M | Converted from GL model (log) |
MobileNet x1.0 | 26.61 | 8.95 | 4,231,976 | 579.80M | Converted from GL model (log) |
MobileNetb x0.25 | 45.51 | 22.01 | 467,592 | 42.88M | Converted from GL model (log) |
MobileNetb x0.5 | 33.42 | 13.10 | 1,326,632 | 153.00M | Converted from GL model (log) |
MobileNetb x0.75 | 29.55 | 10.37 | 2,578,120 | 330.37M | Converted from GL model (log) |
MobileNetb x1.0 | 25.45 | 8.16 | 4,222,056 | 574.97M | Converted from GL model (log) |
FD-MobileNet x0.25 | 55.86 | 30.98 | 383,160 | 12.95M | Converted from GL model (log) |
FD-MobileNet x0.5 | 43.13 | 20.15 | 993,928 | 41.84M | Converted from GL model (log) |
FD-MobileNet x0.75 | 38.42 | 16.41 | 1,833,304 | 86.68M | Converted from GL model (log) |
FD-MobileNet x1.0 | 34.23 | 13.38 | 2,901,288 | 147.46M | Converted from GL model (log) |
MobileNetV2 x0.25 | 48.34 | 24.51 | 1,516,392 | 34.24M | Converted from GL model (log) |
MobileNetV2 x0.5 | 35.98 | 14.93 | 1,964,736 | 100.13M | Converted from GL model (log) |
MobileNetV2 x0.75 | 30.17 | 10.82 | 2,627,592 | 198.50M | Converted from GL model (log) |
MobileNetV2 x1.0 | 26.97 | 8.87 | 3,504,960 | 329.36M | Converted from GL model (log) |
MobileNetV2b x0.25 | 47.05 | 23.68 | 1,516,312 | 33.18M | Converted from GL model (log) |
MobileNetV2b x0.5 | 34.77 | 14.08 | 1,964,448 | 96.42M | Converted from GL model (log) |
MobileNetV2b x0.75 | 30.74 | 11.05 | 2,626,968 | 190.52M | Converted from GL model (log) |
MobileNetV2b x1.0 | 27.70 | 9.12 | 3,503,872 | 315.51M | Converted from GL model (log) |
MobileNetV3 L/224/1.0 | 24.55 | 7.44 | 5,481,752 | 227.09M | Converted from GL model (log) |
IGCV3 x0.25 | 53.70 | 28.71 | 1,534,020 | 41.29M | Converted from GL model (log) |
IGCV3 x0.5 | 39.75 | 17.32 | 1,985,528 | 111.12M | Converted from GL model (log) |
IGCV3 x0.75 | 31.05 | 11.40 | 2,638,084 | 210.95M | Converted from GL model (log) |
IGCV3 x1.0 | 27.91 | 9.20 | 3,491,688 | 340.79M | Converted from GL model (log) |
MnasNet-B1 | 24.96 | 7.40 | 4,383,312 | 326.30M | Converted from GL model (log) |
MnasNet-A1 | 24.39 | 7.20 | 3,887,038 | 326.07M | Converted from GL model (log) |
DARTS | 25.31 | 7.75 | 4,718,752 | 539.86M | Converted from GL model (log) |
ProxylessNAS CPU | 24.71 | 7.61 | 4,361,648 | 459.96M | From MIT-HAN-LAB/ProxylessNAS (log) |
ProxylessNAS GPU | 24.79 | 7.45 | 7,119,848 | 476.08M | Converted from GL model (log) |
ProxylessNAS Mobile | 25.41 | 7.80 | 4,080,512 | 332.46M | From MIT-HAN-LAB/ProxylessNAS (log) |
ProxylessNAS Mob-14 | 23.29 | 6.62 | 6,857,568 | 597.10M | Converted from GL model (log) |
FBNet-Cb | 24.89 | 7.62 | 5,572,200 | 399.26M | From rwightman/pyt...models (log) |
Xception | 20.35 | 5.16 | 22,855,952 | 8,403.63M | Converted from GL model (log) |
InceptionV3 | 20.44 | 5.33 | 23,834,568 | 5,743.06M | Converted from GL model (log) |
InceptionV4 | 19.83 | 4.88 | 42,679,816 | 12,304.93M | Converted from GL model (log) |
InceptionResNetV1 | 19.63 | 4.80 | 23,995,624 | 6,329.60M | Converted from GL model (log) |
InceptionResNetV2 | 19.40 | 4.74 | 55,843,464 | 13,188.64M | Converted from GL model (log) |
PolyNet | 19.10 | 4.52 | 95,366,600 | 34,821.34M | From Cadene/pretrained...pytorch (log) |
NASNet-A 4@1056 | 25.32 | 8.03 | 5,289,978 | 584.90M | Converted from GL model (log) |
NASNet-A 6@4032 | 18.14 | 4.21 | 88,753,150 | 23,976.44M | From Cadene/pretrained...pytorch (log) |
PNASNet-5-Large | 17.88 | 4.28 | 86,057,668 | 25,140.77M | From Cadene/pretrained...pytorch (log) |
SPNASNet | 25.41 | 7.98 | 4,421,616 | 346.73M | Converted from GL model (log) |
EfficientNet-B0 | 24.77 | 7.52 | 5,288,548 | 414.31M | Converted from GL model (log) |
EfficientNet-B1 | 23.08 | 6.38 | 7,794,184 | 732.54M | Converted from GL model (log) |
EfficientNet-B0b | 23.88 | 7.02 | 5,288,548 | 414.31M | From rwightman/pyt...models (log) |
EfficientNet-B1b | 21.60 | 5.94 | 7,794,184 | 732.54M | From rwightman/pyt...models (log) |
EfficientNet-B2b | 20.31 | 5.27 | 9,109,994 | 1,051.98M | From rwightman/pyt...models (log) |
EfficientNet-B3b | 18.83 | 4.45 | 12,233,232 | 1,928.55M | From rwightman/pyt...models (log) |
EfficientNet-B4b | 17.45 | 3.89 | 19,341,616 | 4,607.46M | From rwightman/pyt...models (log) |
EfficientNet-B5b | 16.56 | 3.37 | 30,389,784 | 10,695.20M | From rwightman/pyt...models (log) |
EfficientNet-B6b | 16.29 | 3.23 | 43,040,704 | 19,796.24M | From rwightman/pyt...models (log) |
EfficientNet-B7b | 15.94 | 3.22 | 66,347,960 | 39,010.98M | From rwightman/pyt...models (log) |
EfficientNet-B0c* | 22.92 | 6.75 | 5,288,548 | 414.31M | From rwightman/pyt...models (log) |
EfficientNet-B1c* | 20.73 | 5.69 | 7,794,184 | 732.54M | From rwightman/pyt...models (log) |
EfficientNet-B2c* | 19.85 | 5.03 | 9,109,994 | 1,051.98M | From rwightman/pyt...models (log) |
EfficientNet-B3c* | 18.26 | 4.42 | 12,233,232 | 1,928.55M | From rwightman/pyt...models (log) |
EfficientNet-B4c* | 16.82 | 3.69 | 19,341,616 | 4,607.46M | From rwightman/pyt...models (log) |
EfficientNet-B5c* | 15.91 | 3.10 | 30,389,784 | 10,695.20M | From rwightman/pyt...models (log) |
EfficientNet-B6c* | 15.47 | 2.96 | 43,040,704 | 19,796.24M | From rwightman/pyt...models (log) |
EfficientNet-B7c* | 15.13 | 2.88 | 66,347,960 | 39,010.98M | From rwightman/pyt...models (log) |
EfficientNet-B8c* | 14.85 | 2.76 | 87,413,142 | 64,541.66M | From rwightman/pyt...models (log) |
EfficientNet-Edge-Small-b* | 22.74 | 6.40 | 5,438,392 | 2,378.12M | From rwightman/pyt...models (log) |
EfficientNet-Edge-Medium-b* | 21.18 | 5.63 | 6,899,496 | 3,700.12M | From rwightman/pyt...models (log) |
EfficientNet-Edge-Large-b* | 19.66 | 4.91 | 10,589,712 | 9,747.66M | From rwightman/pyt...models (log) |
MixNet-S | 23.92 | 7.17 | 4,134,606 | 260.76M | Converted from GL model (log) |
MixNet-M | 22.45 | 6.47 | 5,014,382 | 366.68M | Converted from GL model (log) |
MixNet-L | 21.54 | 5.71 | 7,329,252 | 591.34M | Converted from GL model (log) |
ResNet(A)-10 | 31.29 | 11.90 | 5,438,024 | 1,135.86M | Converted from GL model (log) |
ResNet(A)-BC-14 | 28.06 | 9.90 | 10,084,168 | 1,721.57M | Converted from GL model (log) |
ResNet(A)-18 | 25.54 | 8.31 | 11,708,744 | 2,062.24M | Converted from GL model (log) |
ResNet(A)-50b | 21.03 | 5.56 | 25,576,264 | 4,352.93M | Converted from GL model (log) |
ResNet(A)-101b | 19.13 | 4.53 | 44,568,392 | 8,072.93M | Converted from GL model (log) |
ResNet(A)-152b | 18.80 | 4.41 | 60,212,040 | 11,796.83M | Converted from GL model (log) |
ResNet(D)-50b | 21.04 | 5.65 | 25,680,808 | 20,497.60M | From dmlc/gluon-cv (log) |
ResNet(D)-101b | 19.59 | 4.73 | 44,672,936 | 35,392.65M | From dmlc/gluon-cv (log) |
ResNet(D)-152b | 19.42 | 4.82 | 60,316,584 | 47,662.18M | From dmlc/gluon-cv (log) |
Model | Error, % | Params | FLOPs/2 | Remarks |
---|---|---|---|---|
NIN | 7.43 | 966,986 | 222.97M | Converted from GL model (log) |
ResNet-20 | 5.97 | 272,474 | 41.29M | Converted from GL model (log) |
ResNet-56 | 4.52 | 855,770 | 127.06M | Converted from GL model (log) |
ResNet-110 | 3.69 | 1,730,714 | 255.70M | Converted from GL model (log) |
ResNet-164(BN) | 3.68 | 1,704,154 | 255.31M | Converted from GL model (log) |
ResNet-272(BN) | 3.33 | 2,816,986 | 420.61M | Converted from GL model (log) |
ResNet-542(BN) | 3.43 | 5,599,066 | 833.87M | Converted from GL model (log) |
ResNet-1001 | 3.28 | 10,328,602 | 1,536.40M | Converted from GL model (log) |
ResNet-1202 | 3.53 | 19,424,026 | 2,857.17M | Converted from GL model (log) |
PreResNet-20 | 6.51 | 272,282 | 41.27M | Converted from GL model (log) |
PreResNet-56 | 4.49 | 855,578 | 127.03M | Converted from GL model (log) |
PreResNet-110 | 3.86 | 1,730,522 | 255.68M | Converted from GL model (log) |
PreResNet-164(BN) | 3.64 | 1,703,258 | 255.08M | Converted from GL model (log) |
PreResNet-272(BN) | 3.25 | 2,816,090 | 420.38M | Converted from GL model (log) |
PreResNet-542(BN) | 3.14 | 5,598,170 | 833.64M | Converted from GL model (log) |
PreResNet-1001 | 2.65 | 10,327,706 | 1,536.18M | Converted from GL model (log) |
PreResNet-1202 | 3.39 | 19,423,834 | 2,857.14M | Converted from GL model (log) |
ResNeXt-29 (32x4d) | 3.15 | 4,775,754 | 780.55M | Converted from GL model (log) |
ResNeXt-29 (16x64d) | 2.41 | 68,155,210 | 10,709.34M | Converted from GL model (log) |
ResNeXt-272 (1x64d) | 2.55 | 44,540,746 | 6,565.15M | Converted from GL model (log) |
ResNeXt-272 (2x32d) | 2.74 | 32,928,586 | 4,867.11M | Converted from GL model (log) |
SE-ResNet-20 | 6.01 | 274,847 | 41.34M | Converted from GL model (log) |
SE-ResNet-56 | 4.13 | 862,889 | 127.19M | Converted from GL model (log) |
SE-ResNet-110 | 3.63 | 1,744,952 | 255.98M | Converted from GL model (log) |
SE-ResNet-164(BN) | 3.39 | 1,906,258 | 256.55M | Converted from GL model (log) |
SE-ResNet-272(BN) | 3.39 | 3,153,826 | 422.68M | Converted from GL model (log) |
SE-ResNet-542(BN) | 3.47 | 6,272,746 | 838.01M | Converted from GL model (log) |
SE-PreResNet-20 | 6.18 | 274,559 | 41.35M | Converted from GL model (log) |
SE-PreResNet-56 | 4.51 | 862,601 | 127.20M | Converted from GL model (log) |
SE-PreResNet-110 | 4.54 | 1,744,664 | 255.98M | Converted from GL model (log) |
SE-PreResNet-164(BN) | 3.73 | 1,904,882 | 256.32M | Converted from GL model (log) |
SE-PreResNet-272(BN) | 3.39 | 3,152,450 | 422.45M | Converted from GL model (log) |
SE-PreResNet-542(BN) | 3.08 | 6,271,370 | 837.78M | Converted from GL model (log) |
PyramidNet-110 (a=48) | 3.72 | 1,772,706 | 408.37M | Converted from GL model (log) |
PyramidNet-110 (a=84) | 2.98 | 3,904,446 | 778.15M | Converted from GL model (log) |
PyramidNet-110 (a=270) | 2.51 | 28,485,477 | 4,730.60M | Converted from GL model (log) |
PyramidNet-164 (a=270, BN) | 2.42 | 27,216,021 | 4,608.81M | Converted from GL model (log) |
PyramidNet-200 (a=240, BN) | 2.44 | 26,752,702 | 4,563.40M | Converted from GL model (log) |
PyramidNet-236 (a=220, BN) | 2.47 | 26,969,046 | 4,631.32M | Converted from GL model (log) |
PyramidNet-272 (a=200, BN) | 2.39 | 26,210,842 | 4,541.36M | Converted from GL model (log) |
DenseNet-40 (k=12) | 5.61 | 599,050 | 210.80M | Converted from GL model (log) |
DenseNet-BC-40 (k=12) | 6.43 | 176,122 | 74.89M | Converted from GL model (log) |
DenseNet-BC-40 (k=24) | 4.52 | 690,346 | 293.09M | Converted from GL model (log) |
DenseNet-BC-40 (k=36) | 4.04 | 1,542,682 | 654.60M | Converted from GL model (log) |
DenseNet-100 (k=12) | 3.66 | 4,068,490 | 1,353.55M | Converted from GL model (log) |
DenseNet-100 (k=24) | 3.13 | 16,114,138 | 5,354.19M | Converted from GL model (log) |
DenseNet-BC-100 (k=12) | 4.16 | 769,162 | 298.45M | Converted from GL model (log) |
DenseNet-BC-190 (k=40) | 2.52 | 25,624,430 | 9,400.45M | Converted from GL model (log) |
DenseNet-BC-250 (k=24) | 2.67 | 15,324,406 | 5,519.54M | Converted from GL model (log) |
X-DenseNet-BC-40-2 (k=24) | 5.31 | 690,346 | 293.09M | Converted from GL model (log) |
X-DenseNet-BC-40-2 (k=36) | 4.37 | 1,542,682 | 654.60M | Converted from GL model (log) |
WRN-16-10 | 2.93 | 17,116,634 | 2,414.04M | Converted from GL model (log) |
WRN-28-10 | 2.39 | 36,479,194 | 5,246.98M | Converted from GL model (log) |
WRN-40-8 | 2.37 | 35,748,314 | 5,176.90M | Converted from GL model (log) |
WRN-20-10-1bit | 3.26 | 26,737,140 | 4,019.14M | Converted from GL model (log) |
WRN-20-10-32bit | 3.14 | 26,737,140 | 4,019.14M | Converted from GL model (log) |
RoR-3-56 | 5.43 | 762,746 | 113.43M | Converted from GL model (log) |
RoR-3-110 | 4.35 | 1,637,690 | 242.07M | Converted from GL model (log) |
RoR-3-164 | 3.93 | 2,512,634 | 370.72M | Converted from GL model (log) |
RiR | 3.28 | 9,492,980 | 1,281.08M | Converted from GL model (log) |
Shake-Shake-ResNet-20-2x16d | 5.15 | 541,082 | 81.78M | Converted from GL model (log) |
Shake-Shake-ResNet-26-2x32d | 3.17 | 2,923,162 | 428.89M | Converted from GL model (log) |
DIA-ResNet-20 | 6.22 | 286,866 | 41.54M | Converted from GL model (log) |
DIA-ResNet-56 | 5.05 | 870,162 | 129.31M | Converted from GL model (log) |
DIA-ResNet-110 | 4.10 | 1,745,106 | 264.71M | Converted from GL model (log) |
DIA-ResNet-164(BN) | 3.50 | 1,923,002 | 343.60M | Converted from GL model (log) |
DIA-PreResNet-20 | 6.42 | 286,674 | 41.52M | Converted from GL model (log) |
DIA-PreResNet-56 | 4.83 | 869,970 | 129.28M | Converted from GL model (log) |
DIA-PreResNet-110 | 4.25 | 1,744,914 | 264.69M | Converted from GL model (log) |
DIA-PreResNet-164(BN) | 3.56 | 1,922,106 | 343.37M | Converted from GL model (log) |
Model | Error, % | Params | FLOPs/2 | Remarks |
---|---|---|---|---|
NIN | 28.39 | 984,356 | 224.08M | Converted from GL model (log) |
ResNet-20 | 29.64 | 278,324 | 41.30M | Converted from GL model (log) |
ResNet-56 | 24.88 | 861,620 | 127.06M | Converted from GL model (log) |
ResNet-110 | 22.80 | 1,736,564 | 255.71M | Converted from GL model (log) |
ResNet-164(BN) | 20.44 | 1,727,284 | 255.33M | Converted from GL model (log) |
ResNet-272(BN) | 20.07 | 2,840,116 | 420.63M | Converted from GL model (log) |
ResNet-542(BN) | 19.32 | 5,622,196 | 833.89M | Converted from GL model (log) |
ResNet-1001 | 19.79 | 10,351,732 | 1,536.43M | Converted from GL model (log) |
ResNet-1202 | 21.56 | 19,429,876 | 2,857.17M | Converted from GL model (log) |
PreResNet-20 | 30.22 | 278,132 | 41.28M | Converted from GL model (log) |
PreResNet-56 | 25.05 | 861,428 | 127.04M | Converted from GL model (log) |
PreResNet-110 | 22.67 | 1,736,372 | 255.68M | Converted from GL model (log) |
PreResNet-164(BN) | 20.18 | 1,726,388 | 255.10M | Converted from GL model (log) |
PreResNet-272(BN) | 19.63 | 2,839,220 | 420.40M | Converted from GL model (log) |
PreResNet-542(BN) | 18.71 | 5,621,300 | 833.66M | Converted from GL model (log) |
PreResNet-1001 | 18.41 | 10,350,836 | 1,536.20M | Converted from GL model (log) |
ResNeXt-29 (32x4d) | 19.50 | 4,868,004 | 780.64M | Converted from GL model (log) |
ResNeXt-29 (16x64d) | 16.93 | 68,247,460 | 10,709.43M | Converted from GL model (log) |
ResNeXt-272 (1x64d) | 19.11 | 44,632,996 | 6,565.25M | Converted from GL model (log) |
ResNeXt-272 (2x32d) | 18.34 | 33,020,836 | 4,867.20M | Converted from GL model (log) |
SE-ResNet-20 | 28.54 | 280,697 | 41.35M | Converted from GL model (log) |
SE-ResNet-56 | 22.94 | 868,739 | 127.07M | Converted from GL model (log) |
SE-ResNet-110 | 20.86 | 1,750,802 | 255.98M | Converted from GL model (log) |
SE-ResNet-164(BN) | 19.95 | 1,929,388 | 256.57M | Converted from GL model (log) |
SE-ResNet-272(BN) | 19.07 | 3,176,956 | 422.70M | Converted from GL model (log) |
SE-ResNet-542(BN) | 18.87 | 6,295,876 | 838.03M | Converted from GL model (log) |
SE-PreResNet-20 | 28.31 | 280,409 | 41.35M | Converted from GL model (log) |
SE-PreResNet-56 | 23.05 | 868,451 | 127.21M | Converted from GL model (log) |
SE-PreResNet-110 | 22.61 | 1,750,514 | 255.99M | Converted from GL model (log) |
SE-PreResNet-164(BN) | 20.05 | 1,928,012 | 256.34M | Converted from GL model (log) |
SE-PreResNet-272(BN) | 19.13 | 3,175,580 | 422.47M | Converted from GL model (log) |
SE-PreResNet-542(BN) | 19.45 | 6,294,500 | 837.80M | Converted from GL model (log) |
PyramidNet-110 (a=48) | 20.95 | 1,778,556 | 408.38M | Converted from GL model (log) |
PyramidNet-110 (a=84) | 18.87 | 3,913,536 | 778.16M | Converted from GL model (log) |
PyramidNet-110 (a=270) | 17.10 | 28,511,307 | 4,730.62M | Converted from GL model (log) |
PyramidNet-164 (a=270, BN) | 16.70 | 27,319,071 | 4,608.91M | Converted from GL model (log) |
PyramidNet-200 (a=240, BN) | 16.09 | 26,844,952 | 4,563.49M | Converted from GL model (log) |
PyramidNet-236 (a=220, BN) | 16.34 | 27,054,096 | 4,631.41M | Converted from GL model (log) |
PyramidNet-272 (a=200, BN) | 16.19 | 26,288,692 | 4,541.43M | Converted from GL model (log) |
DenseNet-40 (k=12) | 24.90 | 622,360 | 210.82M | Converted from GL model (log) |
DenseNet-BC-40 (k=12) | 28.41 | 188,092 | 74.90M | Converted from GL model (log) |
DenseNet-BC-40 (k=24) | 22.67 | 714,196 | 293.11M | Converted from GL model (log) |
DenseNet-BC-40 (k=36) | 20.50 | 1,578,412 | 654.64M | Converted from GL model (log) |
DenseNet-100 (k=12) | 19.64 | 4,129,600 | 1,353.62M | Converted from GL model (log) |
DenseNet-100 (k=24) | 18.08 | 16,236,268 | 5,354.32M | Converted from GL model (log) |
DenseNet-BC-100 (k=12) | 21.19 | 800,032 | 298.48M | Converted from GL model (log) |
DenseNet-BC-250 (k=24) | 17.39 | 15,480,556 | 5,519.69M | Converted from GL model (log) |
X-DenseNet-BC-40-2 (k=24) | 23.96 | 714,196 | 293.11M | Converted from GL model (log) |
X-DenseNet-BC-40-2 (k=36) | 21.65 | 1,578,412 | 654.64M | Converted from GL model (log) |
WRN-16-10 | 18.95 | 17,174,324 | 2,414.09M | Converted from GL model (log) |
WRN-28-10 | 17.88 | 36,536,884 | 5,247.04M | Converted from GL model (log) |
WRN-40-8 | 18.03 | 35,794,484 | 5,176.95M | Converted from GL model (log) |
WRN-20-10-1bit | 19.04 | 26,794,920 | 4,022.81M | Converted from GL model (log) |
WRN-20-10-32bit | 18.12 | 26,794,920 | 4,022.81M | Converted from GL model (log) |
RoR-3-56 | 25.49 | 768,596 | 113.43M | Converted from GL model (log) |
RoR-3-110 | 23.64 | 1,643,540 | 242.08M | Converted from GL model (log) |
RoR-3-164 | 22.34 | 2,518,484 | 370.72M | Converted from GL model (log) |
RiR | 19.23 | 9,527,720 | 1,283.29M | Converted from GL model (log) |
Shake-Shake-ResNet-20-2x16d | 29.22 | 546,932 | 81.79M | Converted from GL model (log) |
Shake-Shake-ResNet-26-2x32d | 18.80 | 2,934,772 | 428.90M | Converted from GL model (log) |
DIA-ResNet-20 | 27.71 | 292,716 | 41.55M | Converted from GL model (log) |
DIA-ResNet-56 | 24.35 | 876,012 | 129.32M | Converted from GL model (log) |
DIA-ResNet-110 | 22.11 | 1,750,956 | 264.72M | Converted from GL model (log) |
DIA-ResNet-164(BN) | 19.53 | 1,946,132 | 343.62M | Converted from GL model (log) |
DIA-PreResNet-20 | 28.37 | 292,524 | 41.53M | Converted from GL model (log) |
DIA-PreResNet-56 | 25.05 | 875,820 | 129.29M | Converted from GL model (log) |
DIA-PreResNet-110 | 22.69 | 1,750,764 | 264.69M | Converted from GL model (log) |
DIA-PreResNet-164(BN) | 19.99 | 1,945,236 | 343.39M | Converted from GL model (log) |
Model | Error, % | Params | FLOPs/2 | Remarks |
---|---|---|---|---|
NIN | 3.76 | 966,986 | 222.97M | Converted from GL model (log) |
ResNet-20 | 3.43 | 272,474 | 41.29M | Converted from GL model (log) |
ResNet-56 | 2.75 | 855,770 | 127.06M | Converted from GL model (log) |
ResNet-110 | 2.45 | 1,730,714 | 255.70M | Converted from GL model (log) |
ResNet-164(BN) | 2.42 | 1,704,154 | 255.31M | Converted from GL model (log) |
ResNet-272(BN) | 2.43 | 2,816,986 | 420.61M | Converted from GL model (log) |
ResNet-542(BN) | 2.34 | 5,599,066 | 833.87M | Converted from GL model (log) |
ResNet-1001 | 2.41 | 10,328,602 | 1,536.40M | Converted from GL model (log) |
PreResNet-20 | 3.22 | 272,282 | 41.27M | Converted from GL model (log) |
PreResNet-56 | 2.80 | 855,578 | 127.03M | Converted from GL model (log) |
PreResNet-110 | 2.79 | 1,730,522 | 255.68M | Converted from GL model (log) |
PreResNet-164(BN) | 2.58 | 1,703,258 | 255.08M | Converted from GL model (log) |
PreResNet-272(BN) | 2.34 | 2,816,090 | 420.38M | Converted from GL model (log) |
PreResNet-542(BN) | 2.36 | 5,598,170 | 833.64M | Converted from GL model (log) |
ResNeXt-29 (32x4d) | 2.80 | 4,775,754 | 780.55M | Converted from GL model (log) |
ResNeXt-29 (16x64d) | 2.68 | 68,155,210 | 10,709.34M | Converted from GL model (log) |
ResNeXt-272 (1x64d) | 2.35 | 44,540,746 | 6,565.15M | Converted from GL model (log) |
ResNeXt-272 (2x32d) | 2.44 | 32,928,586 | 4,867.11M | Converted from GL model (log) |
SE-ResNet-20 | 3.23 | 274,847 | 41.34M | Converted from GL model (log) |
SE-ResNet-56 | 2.64 | 862,889 | 127.19M | Converted from GL model (log) |
SE-ResNet-110 | 2.35 | 1,744,952 | 255.98M | Converted from GL model (log) |
SE-ResNet-164(BN) | 2.45 | 1,906,258 | 256.55M | Converted from GL model (log) |
SE-ResNet-272(BN) | 2.38 | 3,153,826 | 422.68M | Converted from GL model (log) |
SE-ResNet-542(BN) | 2.26 | 6,272,746 | 838.01M | Converted from GL model (log) |
SE-PreResNet-20 | 3.24 | 274,559 | 41.35M | Converted from GL model (log) |
SE-PreResNet-56 | 2.71 | 862,601 | 127.20M | Converted from GL model (log) |
SE-PreResNet-110 | 2.59 | 1,744,664 | 255.98M | Converted from GL model (log) |
SE-PreResNet-164(BN) | 2.56 | 1,904,882 | 256.32M | Converted from GL model (log) |
SE-PreResNet-272(BN) | 2.49 | 3,152,450 | 422.45M | Converted from GL model (log) |
SE-PreResNet-542(BN) | 2.47 | 6,271,370 | 837.78M | Converted from GL model (log) |
PyramidNet-110 (a=48) | 2.47 | 1,772,706 | 408.37M | Converted from GL model (log) |
PyramidNet-110 (a=84) | 2.43 | 3,904,446 | 778.15M | Converted from GL model (log) |
PyramidNet-110 (a=270) | 2.38 | 28,485,477 | 4,730.60M | Converted from GL model (log) |
PyramidNet-164 (a=270, BN) | 2.33 | 27,216,021 | 4,608.81M | Converted from GL model (log) |
PyramidNet-200 (a=240, BN) | 2.32 | 26,752,702 | 4,563.40M | Converted from GL model (log) |
PyramidNet-236 (a=220, BN) | 2.35 | 26,969,046 | 4,631.32M | Converted from GL model (log) |
PyramidNet-272 (a=200, BN) | 2.40 | 26,210,842 | 4,541.36M | Converted from GL model (log) |
DenseNet-40 (k=12) | 3.05 | 599,050 | 210.80M | Converted from GL model (log) |
DenseNet-BC-40 (k=12) | 3.20 | 176,122 | 74.89M | Converted from GL model (log) |
DenseNet-BC-40 (k=24) | 2.90 | 690,346 | 293.09M | Converted from GL model (log) |
DenseNet-BC-40 (k=36) | 2.60 | 1,542,682 | 654.60M | Converted from GL model (log) |
DenseNet-100 (k=12) | 2.60 | 4,068,490 | 1,353.55M | Converted from GL model (log) |
X-DenseNet-BC-40-2 (k=24) | 2.87 | 690,346 | 293.09M | Converted from GL model (log) |
X-DenseNet-BC-40-2 (k=36) | 2.74 | 1,542,682 | 654.60M | Converted from GL model (log) |
WRN-16-10 | 2.78 | 17,116,634 | 2,414.04M | Converted from GL model (log) |
WRN-28-10 | 2.71 | 36,479,194 | 5,246.98M | Converted from GL model (log) |
WRN-40-8 | 2.54 | 35,748,314 | 5,176.90M | Converted from GL model (log) |
WRN-20-10-1bit | 2.73 | 26,737,140 | 4,019.14M | Converted from GL model (log) |
WRN-20-10-32bit | 2.59 | 26,737,140 | 4,019.14M | Converted from GL model (log) |
RoR-3-56 | 2.69 | 762,746 | 113.43M | Converted from GL model (log) |
RoR-3-110 | 2.57 | 1,637,690 | 242.07M | Converted from GL model (log) |
RoR-3-164 | 2.73 | 2,512,634 | 370.72M | Converted from GL model (log) |
RiR | 2.68 | 9,492,980 | 1,281.08M | Converted from GL model (log) |
Shake-Shake-ResNet-20-2x16d | 3.17 | 541,082 | 81.78M | Converted from GL model (log) |
Shake-Shake-ResNet-26-2x32d | 2.62 | 2,923,162 | 428.89M | Converted from GL model (log) |
DIA-ResNet-20 | 3.23 | 286,866 | 41.54M | Converted from GL model (log) |
DIA-ResNet-56 | 2.68 | 870,162 | 129.31M | Converted from GL model (log) |
DIA-ResNet-110 | 2.47 | 1,745,106 | 264.71M | Converted from GL model (log) |
DIA-ResNet-164(BN) | 2.44 | 1,923,002 | 343.60M | Converted from GL model (log) |
DIA-PreResNet-20 | 3.03 | 286,674 | 41.52M | Converted from GL model (log) |
DIA-PreResNet-56 | 2.80 | 869,970 | 129.28M | Converted from GL model (log) |
DIA-PreResNet-110 | 2.42 | 1,744,914 | 264.69M | Converted from GL model (log) |
DIA-PreResNet-164(BN) | 2.56 | 1,922,106 | 343.37M | Converted from GL model (log) |
Model | Error, % | Params | FLOPs/2 | Remarks |
---|---|---|---|---|
ResNet-10 | 27.77 | 5,008,392 | 893.63M | Converted from GL model (log) |
ResNet-12 | 27.27 | 5,082,376 | 1,125.84M | Converted from GL model (log) |
ResNet-14 | 24.77 | 5,377,800 | 1,357.53M | Converted from GL model (log) |
ResNet-16 | 23.65 | 6,558,472 | 1,588.93M | Converted from GL model (log) |
ResNet-18 | 23.33 | 11,279,112 | 1,820.00M | Converted from GL model (log) |
ResNet-26 | 23.16 | 17,549,832 | 2,746.38M | Converted from GL model (log) |
SE-ResNet-10 | 27.72 | 5,052,932 | 893.86M | Converted from GL model (log) |
SE-ResNet-12 | 26.51 | 5,127,496 | 1,126.17M | Converted from GL model (log) |
SE-ResNet-14 | 24.16 | 5,425,104 | 1,357.92M | Converted from GL model (log) |
SE-ResNet-16 | 23.32 | 6,614,240 | 1,589.35M | Converted from GL model (log) |
SE-ResNet-18 | 23.52 | 11,368,192 | 1,820.47M | Converted from GL model (log) |
SE-ResNet-26 | 22.99 | 17,683,452 | 2,747.08M | Converted from GL model (log) |
MobileNet x1.0 | 23.77 | 3,411,976 | 578.98M | Converted from GL model (log) |
ProxylessNAS Mobile | 22.66 | 3,055,712 | 331.44M | Converted from GL model (log) |
NTS-Net | 12.77 | 28,623,333 | 33,361.79M | From yangze0930/NTS-Net (log) |
Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |
---|---|---|---|---|---|---|
PSPNet | ResNet(D)-101b | 98.09 | 81.44 | 65,708,501 | 230,771.01M | From dmlc/gluon-cv (log) |
DeepLabv3 | ResNet(D)-101b | 97.95 | 80.24 | 58,754,773 | 47,625.34M | From dmlc/gluon-cv (log) |
DeepLabv3 | ResNet(D)-152b | 98.11 | 81.20 | 74,398,421 | 59,894.87M | From dmlc/gluon-cv (log) |
FCN-8s(d) | ResNet(D)-101b | 97.80 | 80.40 | 52,072,917 | 196,562.96M | From dmlc/gluon-cv (log) |
Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |
---|---|---|---|---|---|---|
PSPNet | ResNet(D)-50b | 79.37 | 36.87 | 46,782,550 | 162,595.14M | From dmlc/gluon-cv (log) |
PSPNet | ResNet(D)-101b | 79.93 | 37.97 | 65,774,678 | 231,008.79M | From dmlc/gluon-cv (log) |
DeepLabv3 | ResNet(D)-50b | 79.72 | 37.13 | 39,795,798 | 32,756.18M | From dmlc/gluon-cv (log) |
DeepLabv3 | ResNet(D)-101b | 80.21 | 37.84 | 58,787,926 | 47,651.23M | From dmlc/gluon-cv (log) |
FCN-8s(d) | ResNet(D)-50b | 76.92 | 33.39 | 33,146,966 | 128,387.08M | From dmlc/gluon-cv (log) |
FCN-8s(d) | ResNet(D)-101b | 79.01 | 35.88 | 52,139,094 | 196,800.73M | From dmlc/gluon-cv (log) |
Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |
---|---|---|---|---|---|---|
PSPNet | ResNet(D)-101b | 96.17 | 71.72 | 65,707,475 | 230,767.33M | From dmlc/gluon-cv (log) |
ICNet | ResNet(D)-50b | 95.50 | 64.02 | 47,489,184 | 14,253.43M | From dmlc/gluon-cv (log) |
SINet | - | 94.08 | 61.72 | 119,418 | 1,419.90M | From clovaai/c3_sinet (log) |
Fast-SCNN | - | 95.14 | 65.76 | 1,138,051 | 3493.33M | From dmlc/gluon-cv (log) |
DANet | ResNet(D)-50b | 95.91 | 67.99 | 47,586,427 | 180,397.43M | From dmlc/gluon-cv (log) |
DANet | ResNet(D)-101b | 96.03 | 68.10 | 66,578,555 | 248,811.08M | From dmlc/gluon-cv (log) |
Model | Extractor | Pix.Acc.,% | mIoU,% | Params | FLOPs/2 | Remarks |
---|---|---|---|---|---|---|
PSPNet | ResNet(D)-101b | 92.05 | 67.41 | 65,708,501 | 230,771.01M | From dmlc/gluon-cv (log) |
DeepLabv3 | ResNet(D)-101b | 92.19 | 67.73 | 58,754,773 | 47,625.34M | From dmlc/gluon-cv (log) |
DeepLabv3 | ResNet(D)-152b | 92.24 | 68.99 | 74,398,421 | 275,087.91M | From dmlc/gluon-cv (log) |
FCN-8s(d) | ResNet(D)-101b | 91.44 | 60.11 | 52,072,917 | 196,562.96M | From dmlc/gluon-cv (log) |
Model | Extractor | Params | FLOPs/2 | Remarks |
---|---|---|---|---|
BiSeNet | ResNet-18 | 13,300,416 | - | From zllrunning/face...Torch (log) |
Model | Extractor | OKS AP, % | Params | FLOPs/2 | Remarks |
---|---|---|---|---|---|
AlphaPose | Fast-SE-ResNet-101b | 74.15/91.59/80.68 | 59,569,873 | 9,553.89M | From dmlc/gluon-cv (log) |
SimplePose | ResNet-18 | 66.31/89.20/73.41 | 15,376,721 | 1,799.25M | From dmlc/gluon-cv (log) |
SimplePose | ResNet-50b | 71.02/91.23/78.57 | 33,999,697 | 4,041.06M | From dmlc/gluon-cv (log) |
SimplePose | ResNet-101b | 72.44/92.18/79.76 | 52,991,825 | 7,685.04M | From dmlc/gluon-cv (log) |
SimplePose | ResNet-152b | 72.53/92.14/79.61 | 68,635,473 | 11,332.86M | From dmlc/gluon-cv (log) |
SimplePose | ResNet(A)-50b | 71.70/91.31/78.66 | 34,018,929 | 4,278.56M | From dmlc/gluon-cv (log) |
SimplePose | ResNet(A)-101b | 72.97/92.24/80.81 | 53,011,057 | 7,922.54M | From dmlc/gluon-cv (log) |
SimplePose | ResNet(A)-152b | 73.44/92.27/80.72 | 68,654,705 | 11,570.36M | From dmlc/gluon-cv (log) |
SimplePose(Mobile) | ResNet-18 | 66.25/89.17/74.32 | 12,858,208 | 1,960.96M | From dmlc/gluon-cv (log) |
SimplePose(Mobile) | ResNet-50b | 71.10/91.28/78.67 | 25,582,944 | 4,221.30M | From dmlc/gluon-cv (log) |
SimplePose(Mobile) | 1.0 MobileNet-224 | 64.10/88.06/71.23 | 5,019,744 | 751.36M | From dmlc/gluon-cv (log) |
SimplePose(Mobile) | 1.0 MobileNetV2b-224 | 63.74/88.12/71.06 | 4,102,176 | 495.95M | From dmlc/gluon-cv (log) |
SimplePose(Mobile) | MobileNetV3 Small 224/1.0 | 54.34/83.67/59.35 | 2,625,088 | 236.51M | From dmlc/gluon-cv (log) |
SimplePose(Mobile) | MobileNetV3 Large 224/1.0 | 63.67/88.91/70.82 | 4,768,336 | 403.97M | From dmlc/gluon-cv (log) |
Lightweight OpenPose 2D | MobileNet | 39.99/65.95/40.70 | 4,091,698 | 8,948.96M | From Daniil-Osokin/lighw...ch (log) |
Lightweight OpenPose 3D | MobileNet | 39.99/65.95/40.70 | 5,085,983 | 11,049.43M | From Daniil-Osokin/li...3d...ch (log) |
IBPPose | - | 64.87/83.62/70.13 | 95,827,784 | 57,195.91M | From jialee93/Improved...Parts (log) |
Some remarks:
Model | Lang | WER, % | Params | FLOPs/2 | Remarks |
---|---|---|---|---|---|
Jasper DR 10x5 | En | 21.92 | 332,632,349 | 85,142.96M | From NVIDIA/NeMo (log) |
Jasper DR 10x5 NR | En | 17.92 | 332,632,349 | 85,142.96M | From NVIDIA/NeMo (log) |
QuartzNet 5x5 LS | En | 44.69 | 6,713,181 | 1,717.12M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | En | 16.79 | 18,924,381 | 4,840.29M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 NR | En | 17.76 | 18,924,381 | 4,840.29M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | De | 11.67 | 18,927,456 | 4,841.08M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | Fr | 13.88 | 18,938,731 | 4,843.96M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | It | 15.02 | 18,934,631 | 4,842.91M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | Es | 12.95 | 18,931,556 | 4,842.13M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | Ca | 8.42 | 18,934,631 | 4,842.91M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | Pl | 13.59 | 18,929,506 | 4,841.60M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | Ru | 16.48 | 18,930,531 | 4,841.87M | From NVIDIA/NeMo (log) |
QuartzNet 15x5 | Ru/34 | 9.69 | 18,929,506 | 4,841.60M | From sberdevices/golos (log) |
FAQs
Computer vision models for PyTorch
We found that pytorchcv demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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pnpm 10.12.1 introduces a global virtual store for faster installs and new options for managing dependencies with version catalogs.