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Zhouyi model zoo

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Zhouyi Model Zoo

This repo provides a set of AI models for reference used by Zhouyi SDK.

Model Framework Input Shape Model Source Quant Model
mobilenet_v2 caffe [1,3,224,224] https://github.com/shicai/MobileNet-Caffe No
inception_v4 tf1 [1,299,299,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
deeplab_v2 onnx [1, 3, 513, 513] https://github.com/kazuto1011/deeplab-pytorch No
mtcnn_o caffe [1,3,48,48] https://github.com/CongWeilin/mtcnn-caffe No
inception_v4 caffe [1,3,299,299] https://github.com/soeaver/caffe-model/tree/master/cls No
deepspeech_v2 onnx [1,385,161,1] https://github.com/tensorflow/models/tree/archive/research/deep_speech No
wavenet onnx [1,390,23] https://github.com/buriburisuri/speech-to-text-wavenet No
shufflenet_v2 onnx [1,3,224,224] https://github.com/TropComplique/shufflenet-v2-tensorflow No
mobilenet_v2_ssd onnx [1,300,300,3] https://github.com/tensorflow/models/tree/archive/research/object_detection/models No
facenet tf1 [1, 160, 160, 3] https://github.com/davidsandberg/facenet No
yolo_v3_tiny onnx [1,416,416,3] https://github.com/onnx/models/tree/main/vision/object_detection_segmentation/tiny-yolov3 No
yolo_v3 caffe [1, 3, 608, 608] https://github.com/foss-for-synopsys-dwc-arc-processors/synopsys-caffe-models/tree/master/caffe_models/yolo_v3 No
yolo_v2_416 tf1 [1,416,416,3] https://github.com/wojciechmo/yolo2 No
yolo_v2_416 caffe [1,3,416,416] https://github.com/tsingjinyun/caffe-yolov2 No
yolo_v2_416 onnx [1,3,416,416] https://github.com/wojciechmo/yolo2 No
inception_v4 onnx [1,3,299,299] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
mobilenet_v2 onnx [1,3,224,224] https://github.com/tensorflow/models/tree/archive/research/slim/nets/mobilenet No
faster_rcnn caffe [1, 3, 224, 224] https://github.com/rbgirshick/py-faster-rcnn No
shufflenet_v2 tf1 [1,224,224,3] https://github.com/TropComplique/shufflenet-v2-tensorflow No
resnet_v1_101 caffe [1,3,224,224] https://github.com/SnailTyan/caffe-model-zoo No
mtcnn_p caffe [1,3,12,12] https://github.com/CongWeilin/mtcnn-caffe No
resnet_v1_50 tf1 [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
alexnet onnx [1,1,28,28] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
mobilenet_v2_ssd tf1 [1,300,300,3] https://github.com/tensorflow/models/tree/archive/research/object_detection/models No
inception_v3 tf1 [1, 299, 299, 3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
shufflenet_v2 caffe [1,3,224,224] https://github.com/Ewenwan/ShuffleNet-2 No
deepspeech_v2 tf1 [1,385,161,1] https://github.com/tensorflow/models/tree/archive/research/deep_speech No
inception_v3 caffe [1, 3, 299, 299] https://github.com/soeaver/caffe-model/tree/master/cls No
mobilenet_v2_ssd caffe [1,3,300,300] https://github.com/chuanqi305/MobileNet-SSD No
mtcnn_r caffe [1,3,24,24] https://github.com/CongWeilin/mtcnn-caffe No
resnet_v1_101 tf1 [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
mobilenet_v2 tf1 [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets/mobilenet No
efficientnet_b5 tf1 [1, 456, 456, 3] https://github.com/tensorflow/tpu/tree/master/models/official/efficientnet No
yolo_v3 tf1 [1, 416, 416, 3] https://github.com/qqwweee/keras-yolo3 No
alexnet tf1 [1,28,28,1] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
resnet_v1_50 onnx [1,3,224,224] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
inception_v3 onnx [1, 3, 299, 299] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
vgg_16 caffe [1,3,224,224] https://gist.github.com/ksimonyan/211839e770f7b538e2d8#file-readme-md No
resnet_v1_101 onnx [1,3,224,224] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
vgg_16 onnx [1,3,224,224] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
wavenet tf1 [1,390,23] https://github.com/buriburisuri/speech-to-text-wavenet No
alexnet tflite [1,28,28,1] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
mobilenet_v2 tflite [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets/mobilenet No
shufflenet_v2 tflite [1,224,224,3] https://github.com/TropComplique/shufflenet-v2-tensorflow No
inception_v3 tflite [1, 299, 299, 3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
inception_v4 tflite [1,299,299,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
resnet_v1_50 tflite [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
resnet_v1_101 tflite [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
vgg_16 tflite [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
alexnet caffe [1,3,227,227] https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet No
vgg_16 tf1 [1,224,224,3] https://github.com/tensorflow/models/tree/archive/research/slim/nets No
resnet_v1_50 caffe [1,3,224,224] https://github.com/SnailTyan/caffe-model-zoo No
deeplab_v3 tflite [1,257,257,3] https://github.com/tensorflow/models/tree/archive/research/deeplab No
mobilenet_v3 tflite [1,224,224,3] https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet No
peleenet caffe [1,3,224,224] https://github.com/Robert-JunWang/PeleeNet/tree/master/caffe No
fcn caffe [1,3,224,224] https://github.com/shelhamer/fcn.berkeleyvision.org/tree/master/voc-fcn8s-atonce No
deeplab_v3 onnx [1,3,513,513] https://github.com/tensorflow/models/tree/archive/research/deeplab No
erfnet caffe [1,3,512,1024] https://github.com/Yuelong-Yu/ERFNet-Caffe No
deeplab_v3 tf1 [1,513,513,3] https://github.com/tensorflow/models/tree/archive/research/deeplab No
centerface onnx [1, 3, 640, 640] https://github.com/ttanzhiqiang/onnx_tensorrt_project No
vgg_ssd caffe [1, 3, 300, 300] https://github.com/weiliu89/caffe/tree/ssd No
icnet caffe [1, 3, 1025, 2049] https://github.com/hszhao/ICNet No
resnet_34_ssd onnx [1, 3, 1200, 1200] https://github.com/mlcommons/inference/tree/master/vision/classification_and_detection No
resnet_v2_101 tf1 [1, 299, 299, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
squeezenet tflite [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
sphereface caffe [1, 3, 112, 96] https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/Sphereface/README.md No
dpn_92 caffe [1, 3, 224, 224] https://github.com/soeaver/caffe-model No
resnet_v2_152 tf1 [1, 299, 299, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
se_resnet_50 tf1 [1, 224, 224, 3] https://github.com/HiKapok/TF-SENet No
srcnn tf1 [1, 33, 33, 1] https://github.com/tegg89/SRCNN-Tensorflow No
nasnet_mobile tflite [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
super_resolution onnx [1, 1, 224, 224] https://github.com/onnx/models/tree/master/vision/super_resolution/sub_pixel_cnn_2016 No
squeezenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/squeezenet No
resnet_v2_101 caffe [1, 3, 448, 448] https://github.com/soeaver/caffe-model No
densenet_121 caffe [1, 3, 224, 224] https://github.com/soeaver/caffe-model No
yolo_v2 onnx [1, 3, 416, 416] https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov2-coco No
yolo_v2_tiny onnx [1, 3, 416, 416] https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/tiny-yolov2 No
inception_v2 tf1 [1, 224, 224, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
lightface onnx [1, 3, 240, 320] https://hailo.ai/devzone-model-zoo/face-detection/ No
face_boxes onnx [1,3,1024,1024] https://github.com/zisianw/FaceBoxes.PyTorch No
vgg_cnn_s caffe [10, 3, 224, 224] https://gist.github.com/ksimonyan/fd8800eeb36e276cd6f9 No
mobilenet_v1 caffe [1, 3, 224, 224] https://github.com/shicai/MobileNet-Caffe No
regnet_x onnx [1, 3, 224, 224] https://hailo.ai/devzone-model-zoo/about-object-detection/ No
yolact_regnetx onnx [1, 3, 512, 512] https://hailo.ai/devzone-model-zoo/instance-segmentation/ No
inception_resnet_v2 caffe [1, 3,331,331] https://github.com/soeaver/caffe-model No
resnext_50 caffe [1, 3, 224, 224] https://github.com/soeaver/caffe-model No
resnet_v2_50 tf1 [1, 299, 299, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
pnasnet_large tf1 [1, 331, 331, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
fast_depth onnx [1,3,224,224] https://github.com/dwofk/fast-depth No
efficientnet_lite tf1 [1, 280, 280, 3] https://hailo.ai/devzone-model-zoo/about-object-detection/ No
centernet tf1 [1, 512, 512, 3] https://hailo.ai/devzone-model-zoo/object-detection/ No
inception_v1 onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/inception_and_googlenet/inception_v1 No
unet_bio tf1 [1,256, 256,1] https://github.com/zhixuhao/unet No
shufflenet_v1 onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/shufflenet No
resnext_101 caffe [1, 3, 224, 224] https://www.deepdetect.com/models/resnext/ No
se_resnet_50 caffe [1, 3, 225, 225] https://github.com/soeaver/caffe-model No
xception caffe [1, 3, 299, 299] https://github.com/soeaver/caffe-model No
resnet_v1_152 tf1 [1, 224, 224, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
densenet_169 caffe [1, 3, 224, 224] https://github.com/soeaver/caffe-model No
mixnet tf1 [1,224,224,3] https://github.com/openvinotoolkit/open_model_zoo/tree/master/models/public/mixnet-l No
mnasnet tflite [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
ann onnx [1, 3, 1024, 2048] https://github.com/open-mmlab/mmsegmentation/tree/master/configs/ann No
duc onnx [1, 3, 800, 800] https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/duc No
efficientnet_lite tflite [1, 300, 300, 3] https://tfhub.dev/tensorflow/efficientnet/lite4/classification/2 No
se_inception caffe [1, 3, 224, 224] https://github.com/openvinotoolkit/open_model_zoo/blob/master/models/public/se-inception/README.md No
rnn_t_encoder onnx [1,249,240] https://github.com/mlcommons/inference/tree/master/speech_recognition/rnnt No
nasnet_mobile tf1 [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
yolo_v5 onnx [1, 3, 640, 640] https://github.com/ultralytics/yolov5 No
fcn16s onnx [1, 3, 224, 224] https://github.com/wkentaro/pytorch-fcn/ No
dilation_8 caffe [1, 3, 900, 900] https://github.com/fyu/dilation No
zfnet_512 onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/zfnet-512 No
mobilenet_v2_ssd_lite tf1 [1, 300, 300, 3] https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md No
inception_v2 tflite [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
age_googlenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender No
rnn_t_decoder onnx [1, 1],[1, 2, 320],[1, 2, 320],[1, 1, 1024] https://github.com/mlcommons/inference/tree/master/speech_recognition/rnnt No
stacked_hourglass tf1 [1, 256, 256, 3] https://github.com/yuanyuanli85/Stacked_Hourglass_Network_Keras No
resnet_v2_152 caffe [1, 3, 224, 224] https://github.com/soeaver/caffe-model No
yolo_v1_tiny caffe [1, 3, 448, 448] https://github.com/xingwangsfu/caffe-yolo No
googlenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/inception_and_googlenet/googlenet No
mobilenet_v1_224 tf1 [1, 224, 224, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
poly_lanenet onnx [1, 3, 640, 640] https://hailo.ai/devzone-model-zoo/driving-lane-detection/ No
squeezenet caffe [10, 3, 227, 227] https://github.com/forresti/SqueezeNet No
inception_v2 onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/inception_and_googlenet/inception_v2 No
vgg_19 tf1 [1, 224, 224, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
efficientnet_lite onnx [1,224,224,3] https://github.com/onnx/models/tree/master/vision/classification/efficientnet-lite4 No
caffenet caffe [10, 3, 227, 227] https://github.com/BVLC/caffe/tree/master/models/bvlc_reference_caffenet No
densenet tflite [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
mobilenet_v3 tf1 [1, 224, 224, 3] https://github.com/tensorflow/models/tree/master/research/slim/nets/mobilenet No
googlenet caffe [10, 3, 224, 224] https://github.com/BVLC/caffe/tree/master/models/bvlc_googlenet No
densenet_121 onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/densenet-121 No
nasnet_large tf1 [1, 331, 331,3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
arcface onnx [1, 3, 112, 112] https://github.com/onnx/models/tree/master/vision/body_analysis/arcface No
dpn_68_extra caffe [1, 3, 224, 224] https://github.com/soeaver/caffe-model No
bisenet_v2 tf1 [4, 512, 1024, 3] https://github.com/MaybeShewill-CV/bisenetv2-tensorflow No
caffenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/caffenet No
yolo_v4 onnx [1, 416, 416, 3] https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/yolov4 No
inception_v1 tf1 [1, 224, 224, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
fcn32s onnx [1, 3, 224, 224] https://github.com/wkentaro/pytorch-fcn/ No
inception_v1 tflite [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
mobilenet_v1 tflite [1, 224, 224, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
resnet_v2_101 tflite [1, 299, 299, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
densenet_201 caffe [1, 3, 224, 224] https://github.com/soeaver/caffe-model No
efficientnet_l tf1 [1, 300, 300, 3] https://hailo.ai/devzone-model-zoo/about-object-detection/ No
pspnet onnx [1, 3, 1024, 2048] https://github.com/open-mmlab/mmsegmentation/tree/master/configs/pspnet No
inception_resnet_v2 tf1 [1, 299, 299, 3] https://github.com/tensorflow/models/tree/master/research/slim#Pretrained No
se_resnet_101 caffe [1, 3, 224, 224] https://github.com/hujie-frank/SENet No
apcnet onnx [1, 3, 1024, 2048] https://github.com/open-mmlab/mmsegmentation/tree/master/configs/apcnet No
inception_resnet_v2 tflite [1, 299, 299, 3] https://www.tensorflow.org/lite/guide/hosted_models?hl=zh-cn No
efficientdet tflite [ 1,512, 512, 3] https://tfhub.dev/tensorflow/lite-model/efficientdet/lite3/detection/default/1 No
yolo_v5_s onnx [1, 3, 640, 640] https://github.com/ultralytics/yolov5/ No
gender_googlenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender No
resnet_v1_ssd tf1 [1, 640, 640, 3] https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md No
retinanet onnx [1, 3, 480, 640] https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/retinanet No
deeplab_v3_xception tf1 [1,513,513,3] https://github.com/tensorflow/models/blob/66264b2353aeeca3d4b340908a9590571495d5a6/research/deeplab/g3doc/model_zoo.md No
yolo_v5 tflite [1, 640, 640, 3] https://github.com/ultralytics/yolov5 No
deeplabv3_mobilenetv2 onnx [1, 3, 512, 512] https://github.com/zym1119/DeepLabv3_MobileNetv2_PyTorch No
yolox_s onnx [1, 3, 640, 640] https://github.com/Megvii-BaseDetection/YOLOX/tree/main/demo/ONNXRuntime No
mobilenet_v1_ssd onnx [1, 3, 416, 416] https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/ssd-mobilenetv1 No
vision_transformer onnx [1,3,224,224] https://github.com/jeonsworld/ViT-pytorch No
ssd onnx [1, 3, 1200, 1200] https://github.com/onnx/models/tree/master/vision/object_detection_segmentation/ssd No
inception_v2_ssd tf1 [1, 300, 300, 3] https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md No
yolo_v4 tf1 [1,416,416,3] https://github.com/hunglc007/tensorflow-yolov4-tflite No
mobilenet_v1_ssd tf1 [1, 300, 300, 3] https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md No
fcn8s onnx [1, 3, 224, 224] https://github.com/wkentaro/pytorch-fcn/ No
drn_38 onnx [1, 3, 512, 1024] https://github.com/fyu/drn No
fsrcnn onnx [1, 1, 85, 85] https://github.com/yjn870/FSRCNN-pytorch No
pointnet onnx [32, 9, 4096] https://github.com/yanx27/Pointnet_Pointnet2_pytorch No
mobilenet_edgetpu tflite [1,224,224,3] https://github.com/mlcommons/mobile_models/blob/main/v0_7/tflite/mobilenet_edgetpu_224_1.0_uint8.tflite No
gru_l tf1 [1, 49, 10] https://github.com/UT2UH/ML-KWS-for-ESP32/tree/master/Pretrained_models/GRU No
swin_transformer onnx [1,3,384,384] https://github.com/microsoft/Swin-Transformer No
codeformer_256 onnx [1,3,256,256] https://github.com/sczhou/CodeFormer/releases/tag/v0.1.0 No
resnet_18 onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/main/vision/classification/resnet/model No
resnext_101 onnx [1, 3, 224, 224] https://github.com/Cadene/pretrained-models.pytorch No
unet_3d onnx [1, 3, 224, 224, 32] https://zenodo.org/record/3904138#.YbBtatDP1PY No
sne_roadseg onnx [1,3,384,1248] https://github.com/hlwang1124/SNE-RoadSeg No
maskrcnn pytorch [0] https://pytorch.org/vision/main/models/mask_rcnn.html No
yolo_v6s onnx [1,3,640,640] https://github.com/DefTruth/lite.ai.toolkit No
swin_transformer_base onnx [1,3,224,224] https://github.com/microsoft/Swin-Transformer/blob/main/MODELHUB.md No
3d_unet onnx [0] https://github.com/mlcommons/inference/tree/master/vision/medical_imaging/3d-unet-kits19 No
xception tf2 [1, 299, 299, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
efficientnet_b5 tf2 [1,456,456,3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
mobilenet_v1_ssd tflite [300, 300] https://tfhub.dev/tensorflow/lite-model/ssd_mobilenet_v1/1/metadata/2 No
transformer_official tf1 [1, 32] https://github.com/Kyubyong/transformer No
ViT_B_16 pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/vision_transformer.html No
efficientnet_b4_quant tflite [1,380,380,3] https://ai-benchmark.com/download.html Yes
dped_quant tflite [1,1536,2048,3] https://ai-benchmark.com/download.html Yes
shufflenet_v2 onnx [1,3,224,224] https://github.com/TropComplique/shufflenet-v2-tensorflow Yes
vgg_quant tflite [1,256,256,1] https://ai-benchmark.com/download.html Yes
caffenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/caffenet Yes
mobilebert_quant tflite [1,384], [1,384], [1,384] https://ai-benchmark.com/download.html Yes
shufflenet_v2 pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/shufflenetv2.html Yes
fcn32s onnx [1, 3, 224, 224] https://github.com/wkentaro/pytorch-fcn/ Yes
imdn_quant tflite [1,1024,1024,3] https://ai-benchmark.com/download.html Yes
squeezenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/classification/squeezenet Yes
resnet_v1_50 pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/resnet.html Yes
vsr_quant tflite [1,540,960,3] https://ai-benchmark.com/download.html Yes
punet_quant tflite [1,544,960,4] https://ai-benchmark.com/download.html Yes
dped_instance_quant tflite [1,1024,1536,3] https://ai-benchmark.com/download.html Yes
mobilenet_v2_quant tflite [1,224,224,3] https://ai-benchmark.com/download.html Yes
vgg_16 onnx [1,3,224,224] https://github.com/tensorflow/models/tree/archive/research/slim/nets Yes
mobilenet_v2_b8_quant tflite [8,224,224,3] https://ai-benchmark.com/download.html Yes
unet_quant tflite [1,1024,1024,3] https://ai-benchmark.com/download.html Yes
resnet_v1_50 onnx [1,3,224,224] https://github.com/tensorflow/models/tree/archive/research/slim/nets Yes
mobilenet_v3_quant tflite [1,512,512,3] https://ai-benchmark.com/download.html Yes
crnn_quant tflite [1,64,200,3] https://ai-benchmark.com/download.html Yes
deeplab_v3_plus_quant tflite [1,1024,1024,3] https://ai-benchmark.com/download.html Yes
age_googlenet onnx [1, 3, 224, 224] https://github.com/onnx/models/tree/master/vision/body_analysis/age_gender Yes
googlenet pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/googlenet.html Yes
inception_v3 pytorch [1,3,224,224] https://pytorch.org/vision/stable/models/generated/torchvision.models.quantization.inception_v3.html#torchvision.models.quantization.inception_v3 Yes
srgan_quant tflite [1,256,256,3] https://ai-benchmark.com/download.html Yes
mv3_depth_quant tflite [1,1024,1536,3] https://ai-benchmark.com/download.html Yes
mobilenet_v3 pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/mobilenetv3.html Yes
mobiledet_ssd tflite [1, 320, 320, 3] https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/tf1_detection_zoo.md Yes
pynet_quant tflite [1,512,512,3] https://ai-benchmark.com/download.html Yes
mobilenet_v2 onnx [1,3,224,224] https://github.com/tensorflow/models/tree/archive/research/slim/nets/mobilenet Yes
lstm_quant tflite [1,32,500,1] https://ai-benchmark.com/download.html Yes
yolo_v4_tiny_quant tflite [1,416,416,3] https://ai-benchmark.com/download.html Yes
inception_v3_quant tflite [1, 346, 346, 3] https://ai-benchmark.com/download.html Yes
esrgan_quant tflite [1,128,128,3] https://ai-benchmark.com/download.html Yes
mobilenet_v3_b4_quant tflite [4,512,512,3] https://ai-benchmark.com/download.html Yes
xlsr_quant tflite [1,360,640,3] https://ai-benchmark.com/download.html Yes
efficientnet_b5 pytorch [1, 3, 456, 456] https://pytorch.org/vision/stable/models/generated/torchvision.models.efficientnet_b5.html#torchvision.models.efficientnet_b5 No
petr pytorch [6, 3, 320, 800] https://github.com/megvii-research/PETR No
fcn pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/fcn.html No
centernet_resnet50 pytorch [1, 3, 512, 512] https://github.com/bubbliiiing/centernet-pytorch No
resnet_34_ssd tf1 [1, 1200, 1200, 3] https://github.com/mlcommons/inference/tree/r0.5/v0.5/classification_and_detection No
densenet_121 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
yolo_v5s6 onnx [1, 3, 640, 640] https://github.com/ultralytics/yolov5/releases/download/v7.0/yolov5s6.pt No
resnet_v1_101 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
shufflenet_v2 pytorch [1,3,224,224] https://pytorch.org/vision/stable/models/generated/torchvision.models.shufflenet_v2_x1_0.html#torchvision.models.shufflenet_v2_x1_0 No
yolo_v4 pytorch [1, 3, 416, 416] https://github.com/bubbliiiing/yolov4-pytorch/tree/master No
resnet_50_v1_5 tf1 [1, 224, 224, 3] https://zenodo.org/ No
alexnet pytorch [2,3,224,224] https://pytorch.org/vision/stable/models/generated/torchvision.models.alexnet.html#torchvision.models.alexnet No
yolo_v4_tiny pytorch [1, 3, 416, 416] https://github.com/bubbliiiing/yolov4-tiny-pytorch No
se_resnext_50 tf1 [1, 224, 224, 3] https://github.com/HiKapok/TF-SENet No
vgg_16 pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/vgg.html No
mobilenet_v2 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
sea_former onnx [1, 3, 512, 1024] https://github.com/fudan-zvg/SeaFormer/tree/main/seaformer-seg No
resnet_v2_50 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
resnet_v2_101 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
vgg_16 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
mobilenet_v1_224 tflite [1, 224, 224, 3] https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md No
vgg_19 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
yolox_l onnx [1,3,640,640] https://github.com/Megvii-BaseDetection/YOLOX No
yolo_v4_tiny tflite [1,416,416,3] https://github.com/hunglc007/tensorflow-yolov4-tflite/tree/master No
swin_transformer_tiny_224 pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/swin_transformer.html No
inception_v3 tf2 [1, 299, 299, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
nasnet_mobile tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
mobilenet_v3 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
resnet_v1_50 tf2 [1, 224, 224, 3] https://www.tensorflow.org/versions/r2.6/api_docs/python/tf/keras/applications No
resnet_v1_50 pytorch [1, 3, 224, 224] https://pytorch.org/vision/stable/models/resnet.html No

 

FTP model download (Suggest FTP tool FileZilla)

  • Host: sftp://sftp01.armchina.com
  • Account: zhouyi.armchina
  • Password: 114r3cJd

 

About Zhouyi NPU

Zhouyi NPU IP is a high efficiency and high performance AI processor that supports wide range of AI application, including vision, audio/speech and NLP. Zhouyi NPU offers fixed function accelerator that speeds up general operations like convolution and activation, meanwhile Zhouyi NPU offers flexible programmability to support new operations or customized operations.

Zhouyi NPU IP has been deployed in a number of market segments, including surveillance, automotive, IOT, etc. With proven peformance and scalablility, Zhouyi NPU IP covers 0.25TOPS to hunderds of TOPS, target market from edge computing to data center.

 

About Zhouyi SDK

Zhouyi SDK is a full stack of platform that provides fast time-to-market development and deployment capability for user.

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Highlighted feature:

  • Support various framework

    Supports TensorFlow, TensorFlow Lite, Caffe, Pytorch and ONNX, extend to support orther framework by IR transition

  • Graph optimization

    Many graph optimization techniques are used to reduce network complexity, like conv+batchnorm+relu fusion, to make graph run fast and efficiently on Zhouyi hardware.

  • Quantization

    Support training-aware quantization model and post-training quantization method. Natively provides advanced-quantization techniques, also provide interface for user customized quantization parameter.

  • IR (intermediate representation)

    Public Zhouyi IR, and can be a standard for other framework to support

  • Customization

    Provide plugin interface for user easy to develop custom operations and integrate into SDK

  • Simulator

    Provide instruction-level simulator, easy for user to evaluate model before porting to hardware

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Zhouyi model zoo