Caffe Models for DesignWare EV Processors, R-2020.12-RC1

This is release R-2020.12-RC1 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV Processors.

These models must be used together with Synopsys-Caffe R-2020.12-RC1 and the MetaWare EV Development Toolkit R-2020.12-RC1 from Synopsys.

Supported Models

Alexnet, DAN, Denoiser, Densenet, Deeplab, Facedetect v1/v2, FaceNet, Faster_rcnn_resnet101, FCN, Googlenet. ICNet,
Inception_Resnet v1/v2, Inception v1/v2/v3/v4, LeNet, Mobilenet, Mobilenet_ssd, mtcnn v1, OpenPose, PSPNet,
Resnet 50/101/152, Resnet50_ssd, ResNext 50/101/152, RetinaNet, SegNet, ShuffleNet v1/v2, SRGAN, SqueezeNet, SRCNN, SSD,
PSPNet, UNet, VDCR, VGG16, Yolo v1/v1_tiny/v2_coco/v2_voc/v3/v3_tiny

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs 2020.09

Updated models

• DeepLab,
• ICNet,
• MobileNet
• RetinaNet
• SEGNet
• Yolo-V3

Other changes

None

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

Caffe Models for DesignWare EV Processors, R-2020.09-RC1

This is release R-2020.09-RC1 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe R-2020.09-RC1 and the MetaWare EV Development Toolkit R-2020.09-RC1 from Synopsys.

Supported Models

Alexnet, DAN, Denoiser, Densenet, Deeplab, Facedetect v1/v2, FaceNet, Faster_rcnn_resnet101, FCN, Googlenet. ICNet,
Inception_Resnet v1/v2, Inception v1/v2/v3/v4, LeNet, Mobilenet, Mobilenet_ssd, mtcnn v1, OpenPose, PSPNet,
Resnet 50/101/152, Resnet50_ssd, ResNext 50/101/152, RetinaNet, SegNet, ShuffleNet v1/v2, SRGAN, SqueezeNet, SRCNN, SSD,
PSPNet, UNet, VDCR, VGG16, Yolo v1/v1_tiny/v2_coco/v2_voc/v3/v3_tiny

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs 2020.06

New models

• FaceNet

Updated models

• SRGAN- added new prototxt for Dynamic input

Other changes

None

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

Caffe Models for DesignWare EV Processors, R-2020.09

This is release R-2020.09 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe R-2020.09 and the MetaWare EV Development Toolkit R-2020.09 from Synopsys.

Supported Models

Alexnet, DAN, Denoiser, Densenet, Deeplab, Facedetect v1/v2, FaceNet, Faster_rcnn_resnet101, FCN, Googlenet. ICNet,
Inception_Resnet v1/v2, Inception v1/v2/v3/v4, LeNet, Mobilenet, Mobilenet_ssd, mtcnn v1, OpenPose, PSPNet,
Resnet 50/101/152, Resnet50_ssd, ResNext 50/101/152, RetinaNet, SegNet, ShuffleNet v1/v2, SRGAN, SqueezeNet, SRCNN, SSD,
PSPNet, UNet, VDCR, VGG16, Yolo v1/v1_tiny/v2_coco/v2_voc/v3/v3_tiny

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs 2020.06

New models

• FaceNet

Updated models

• SRGAN- added new prototxt for Dynamic input

Other changes

None

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

Caffe Models for DesignWare EV Processors, v2020.06.RC1

This is release 2020.06.RC1 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe v2020.06.RC1 and the MetaWare EV Development Toolkit v2020.06.RC1 from Synopsys.

Supported Models

• alexnet
• DAN
• denoiser
• densenet
• deeplab
• facedetect_v1
• facedetect_v2
• faster_rcnn_resnet101
• fcn
• googlenet
• icnet
• inception_resnet_v1
• inception_resnet_v2
• inception_v1
• inception_v2
• inception_v3
• inception_v4
• lenet
• mobilenet
• mobilenet_ssd
• mtcnn_v1
• openpose
• pspnet
• resnet_101
• resnet_152
• resnet_50
• resnet50_ssd
• resnext_101
• resnext_152
• resnext_50
• retinanet
• segnet
• shufflenet_v1
• shufflenet_v2
• srgan
• squeezenet
• srcnn
• ssd
• pspnet
• unet
• vdcr
• vgg16
• yolo_tiny
• yolo_v1
• yolo_v2_coco
• yolo_v2_voc
• yolo_v3 (yolo_v3_tiny included)

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs v2020.03

New models

• retinanet

Updated models

• fcn- added FCN-ResNet18
• Inception V1 - added one new updated prototxt
• mobilenet_v3. Update pb_converted
• openpose. Add pose_deploy
• ResNet-152. Update models

Other changes

None

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

Caffe Models for DesignWare EV Processors, v2020.06

This is release 2020.06 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe v2020.06 and the MetaWare EV Development Toolkit v2020.06 from Synopsys.

Supported Models

• alexnet
• DAN
• denoiser
• densenet
• deeplab
• facedetect_v1
• facedetect_v2
• faster_rcnn_resnet101
• fcn
• googlenet
• icnet
• inception_resnet_v1
• inception_resnet_v2
• inception_v1
• inception_v2
• inception_v3
• inception_v4
• lenet
• mobilenet
• mobilenet_ssd
• mtcnn_v1
• openpose
• pspnet
• resnet_101
• resnet_152
• resnet_50
• resnet50_ssd
• resnext_101
• resnext_152
• resnext_50
• retinanet
• segnet
• shufflenet_v1
• shufflenet_v2
• srgan
• squeezenet
• srcnn
• ssd
• pspnet
• unet
• vdcr
• vgg16
• yolo_tiny
• yolo_v1
• yolo_v2_coco
• yolo_v2_voc
• yolo_v3 (yolo_v3_tiny included)

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs v2020.03

New models

• retinanet

Updated models

• fcn- added FCN-ResNet18
• Inception V1 - added one new updated prototxt
• mobilenet_v3. Update pb_converted
• openpose. Add pose_deploy
• ResNet-152. Update models

Other changes

None

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

MWEV2020.03.RC1

This is release 2020.03.RC1 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe v2020.03.RC1 and the MetaWare EV Development Toolkit v2020.03.RC1 from Synopsys.

Supported Models

• alexnet
• DAN
• denoiser
• densenet
• deeplab
• facedetect_v1
• facedetect_v2
• faster_rcnn_resnet101
• fcn
• googlenet
• icnet
• inception_resnet_v1
• inception_resnet_v2
• inception_v1
• inception_v2
• inception_v3
• inception_v4
• lenet
• mobilenet
• mobilenet_ssd
• mtcnn_v1
• openpose
• pspnet
• resnet_101
• resnet_152
• resnet_50
• resnet50_ssd
• resnext_101
• resnext_152
• resnext_50
• segnet
• shufflenet_v1
• shufflenet_v2
• srgan
• squeezenet
• srcnn
• ssd
• pspnet
• unet
• vdcr
• vgg16
• yolo_tiny
• yolo_v1
• yolo_v2_coco
• yolo_v2_voc
• yolo_v3 (yolo_v3_tiny included)

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs v2019.12

New models

Updated models

• fcn- added new models
• Inception V1 - added one new updated prototxt
• resnet_152 - add one new model

Other changes

• images - added new dummy images

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

MWEV2020.03

This is release 2020.03 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe v2020.03 and the MetaWare EV Development Toolkit v2020.03 from Synopsys.

Supported Models

• alexnet
• DAN
• denoiser
• densenet
• deeplab
• facedetect_v1
• facedetect_v2
• faster_rcnn_resnet101
• fcn
• googlenet
• icnet
• inception_resnet_v1
• inception_resnet_v2
• inception_v1
• inception_v2
• inception_v3
• inception_v4
• lenet
• mobilenet
• mobilenet_ssd
• mtcnn_v1
• openpose
• pspnet
• resnet_101
• resnet_152
• resnet_50
• resnet50_ssd
• resnext_101
• resnext_152
• resnext_50
• segnet
• shufflenet_v1
• shufflenet_v2
• srgan
• squeezenet
• srcnn
• ssd
• pspnet
• unet
• vdcr
• vgg16
• yolo_tiny
• yolo_v1
• yolo_v2_coco
• yolo_v2_voc
• yolo_v3 (yolo_v3_tiny included)

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs v2019.12

New models

Updated models

• fcn- added new models
• Inception V1 - added one new updated prototxt
• mobilenet - added V3 models
• resnet_152 - added one new model
• resnet_50 - added 1920x1080 model

Other changes

• images - added new dummy images

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

MWEV2019.12.RC1

This is release 2019.12.RC1 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe v2019.12.RC1 and the MetaWare EV Development Toolkit v2019.12.RC1 from Synopsys.

Supported Models

• alexnet
• DAN
• DeepTesla
• denoiser
• densenet
• deeplab
• facedetect_v1
• facedetect_v2
• faster_rcnn_resnet101
• fcn
• googlenet
• icnet
• inception_resnet_v1
• inception_resnet_v2
• inception_v1
• inception_v2
• inception_v3
• inception_v4
• lenet
• mobilenet
• mobilenet_ssd
• mtcnn_v1
• openpose
• pspnet
• resnet_101
• resnet_152
• resnet_50
• resnet50_ssd
• resnext_101
• resnext_152
• resnext_50
• segnet
• shufflenet_v1
• shufflenet_v2
• srgan
• squeezenet
• srcnn
• ssd
• pspnet
• unet
• vdcr
• vgg16
• yolo_tiny
• yolo_v1
• yolo_v2_coco
• yolo_v2_voc
• yolo_v3 (yolo_v3_tiny included)

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs v2019.09

New models

• fcn
• shufflenet_v1
• shufflenet_v2
• resnext_101
• resnext_152
• resnext_50

Updated models

• deeplabv3- added test images
• DeepTesla- added models and test images
• MobileNet- updated models

Other changes

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

MWEV2019.12

This is release 2019.12 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe v2019.12 and the MetaWare EV Development Toolkit v2019.12 from Synopsys.

Supported Models

• alexnet
• DAN
• denoiser
• densenet
• deeplab
• facedetect_v1
• facedetect_v2
• faster_rcnn_resnet101
• fcn
• googlenet
• icnet
• inception_resnet_v1
• inception_resnet_v2
• inception_v1
• inception_v2
• inception_v3
• inception_v4
• lenet
• mobilenet
• mobilenet_ssd
• mtcnn_v1
• openpose
• pspnet
• resnet_101
• resnet_152
• resnet_50
• resnet50_ssd
• resnext_101
• resnext_152
• resnext_50
• segnet
• shufflenet_v1
• shufflenet_v2
• srgan
• squeezenet
• srcnn
• ssd
• pspnet
• unet
• vdcr
• vgg16
• yolo_tiny
• yolo_v1
• yolo_v2_coco
• yolo_v2_voc
• yolo_v3 (yolo_v3_tiny included)

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs v2019.09

New models

• fcn
• shufflenet_v1
• shufflenet_v2
• resnext_101
• resnext_152
• resnext_50

Updated models

• deeplabv3- added test images
• MobileNet- updated models

Other changes

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.

MWEV2019.09.SP1

This is release 2019.09.SP1 of the Synopsys-caffe-models, a set of Caffe Deep Learning Models adapted for use with DesignWare EV6x Processors.

These models must be used together with Synopsys-Caffe v2019.09.SP1 and the MetaWare EV Development Toolkit v2019.09.SP1 from Synopsys.

Supported Models

• alexnet
• DAN
• DeepTesla
• denoiser
• densenet
• deeplab
• facedetect_v1
• facedetect_v2
• faster_rcnn_resnet101
• googlenet
• icnet
• inception_resnet_v1
• inception_resnet_v2
• inception_v1
• inception_v2
• inception_v3
• inception_v4
• lenet
• mobilenet
• mobilenet_ssd
• mtcnn_v1
• openpose
• pspnet
• resnet_101
• resnet_152
• resnet_50
• resnet50_ssd
• resnext_101
• resnext_152
• resnext_50
• segnet
• shufflenet_v1
• shufflenet_v2
• srgan
• squeezenet
• srcnn
• ssd
• pspnet
• unet
• vdcr
• vgg16
• yolo_tiny
• yolo_v1
• yolo_v2_coco
• yolo_v2_voc
• yolo_v3 (yolo_v3_tiny included)

Images

• imagenet_mean - mean images for different image sizes
• imagenet_test_images - simple set of test images
• images - different image data sub-sets

Changes vs v2019.09

New models

• shufflenet_v1
• shufflenet_v2
• resnext_101
• resnext_152
• resnext_50

Updated models

• deeplabv3- added test images
• DeepTesla- added models and test images

Other changes

Helper tools

git_sparse_download.sh(bat) - helps to download only part of models.