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mindspore/model_zoo/official/cv
mindspore-ci-bot e0082cc4ac !9649 solve Maskrcnn_mobilenetv1 scripts problems 5 years ago
..
alexnet modify param 5 years ago
centerface !9449 remove centerface useless parameters. 5 years ago
cnnctc mindir_suffix 5 years ago
deeplabv3 mindir_suffix 5 years ago
densenet121 add export file for resnet50_quant and densenet121, fix centerface and transformer bug 5 years ago
efficientnet compatible name 5 years ago
faster_rcnn compatible name 5 years ago
googlenet mindir_suffix 5 years ago
inceptionv3 !9367 remove redundant parameters of resnext50 and inceptionv3 5 years ago
lenet mindir_suffix 5 years ago
lenet_quant mindir_suffix 5 years ago
maskrcnn !9257 make parameter name optional 5 years ago
maskrcnn_mobilenetv1 solve maskrcnn_mobilenetv1 scripts problems 5 years ago
mobilenetv1 add mobilenetv1 5 years ago
mobilenetv2 mindir_suffix 5 years ago
mobilenetv2_quant use two_conv_fold for ascend quant net 5 years ago
mobilenetv3 mindir_suffix 5 years ago
nasnet modify gpu benchmark for pynative 5 years ago
openpose Fix openpose net eval bug 5 years ago
psenet change air_filename to adapt export interface 5 years ago
resnet modify gpu benchmark for pynative 5 years ago
resnet50_quant use two_conv_fold for ascend quant net 5 years ago
resnet_thor !9354 mode_mindir_suffix 5 years ago
resnext50 fix hccl init of resnext50 5 years ago
retinaface_resnet50 Retinaface_res50: config specification modification. 5 years ago
shufflenetv2 fix shufflenetv2 script 5 years ago
squeezenet mindir_suffix 5 years ago
ssd mindir_suffix 5 years ago
unet mindir_suffix 5 years ago
vgg16 set graph model should befor init(), otherwise hccl will report repeat init error. 5 years ago
warpctc compatible name 5 years ago
yolov3_darknet53 !9440 Optimizer parameters,Improve yolov3_darknet53 network precision 5 years ago
yolov3_darknet53_quant use two_conv_fold for ascend quant net 5 years ago
yolov3_resnet18 mindir_suffix 5 years ago
yolov4 mindir_suffix 5 years ago
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MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

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