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文件

.idea

ACL_TensorFlow

built-in

contrib

audio

cv

Attention-OCR_ID2013_for_ACL

Memnet_ID1085_for_ACL

SparseNet_ID1616_for_ACL

3D-POSE-BASELINE_ID0795_for_ACL

3DResNet_for_ACL

ADA-Net_ID1245_for_ACL

ADAGAN_ID2115_for_ACL

ADDA_ID1026_for_ACL

AdvancedEAST_ID0130_for_ACL

AmoebaNet-D_ID2073_for_ACL

Arcface_ID0887_for_ACL

AutoEncoder_ID2495_for_ACL

AvatarGAN_ID1305_for_ACL

BSRN_ID1296_for_ACL

BicycleGAN_ID1287_for_ACL

BigbiGAN_ID1293_for_ACL

BlitzNet_ID0948_for_ACL

C3AE_ID1250_for_ACL

C3D_ID2199_for_ACL

CFL_ID1230_for_ACL

COMPARE_GAN_ID2103_for_ALC

CSGM_ID2109_for_ACL

CSPNet_ID0840_for_ACL

CYCLE-DEHAZE_ID1219_for_ACL

CascadeNet_ID2121_for_ACL

Centernet_for_ACL

CircleLoss_ID1221_for_ACL

Cognitive_Planning_ID2015_for_ACL

ConvLSTM_ID2358_for_ACL

CovPoolFER_ID1215_for_ACL

CycleGAN_ID0716_for_ACL

DANN_ID2200_for ACL

DCGAN_ID1471_for_ACL

DD-NET_ID1088_for_TensorFlow

DDcGAN_ID2123_for_ACL

DENSEDEPTH_ID0806_for_ACL

DF-Net_ID2365_for_ACL

DMSP_ID1290_for_ACL

DPN_for_ACL

Deep-SLR_ID2122_for_ACL

DeepAlignmentNetwork_ID0874_for_ACL

DeepFaceLab_ID2017_for_ACL

DeepMatchVO_ID2363_for_ACL

DeepSort_ID0505_for_ACL

DeepSort_for_ACL

DeltaEncoder_ID1273_for_ACL

DualGAN_ID1001_for_ACL

ECONet_for_ACL

EDSR_ID1263_for_ACL

Ecolite_for_ACL

Efficientnet-CondConv_ID2074_for_ACL

Efficientnet_ID1057_for_ACL

Efficientnet_ID1220_for_ACL

FAST-STYLE-TRANSFER_ID2056_for_ACL

FQ-GAN_ID1117_for_ACL

FaceBoxes_ID1074_for_ACL

Factorized_ID1301_for_ACL

FasterRCNN_for_ACL

FasterRCNN_offlineinference_for_ACL

Fixmatch_ID0843_for_ACL

FlowNet2_ID1375_for_ACL

Fpointnet_ID1470for_ACL

FusionGAN_ID2124_for_ACL

GMH—MDN_ID1225_for_ACL

GeoNet_ID2357_for_ACL

GitLoss_ID1277_for_ACL

Gman_Net_ID1302_for_ACL

HMR_ID0783_for_ACL

HybridSN_ID1160_for_ACL

IEG_ID2049_for_ACL

JSHDR_ID2119_for_ACL

KEYPOSE_ID2043_for_ACL

LEARNING-TO-SEE-IN-THE-DARK_ID2069_for_ACL

LMTCNN_ID1278_for_ACL

LSTM-HAR_ID2084_for_ACL

LiftingFromTheDeep_ID0891_for_ACL

MASF_ID1191_for_ACL

MEAN-TEACHER_ID0789_for_ACL

MGCNN_ID1039_for_ACL

MLSP_ID1295_for_ACL

MNN-LANENET_ID1251_for_TensorFlow

MONODEPTH_ID2099_for_ACL

MONO_ID1240_for_ACL

MT-NET_ID1283_for_ACL

MTCNN_for_ACL

MUNIT_ID0953_for_ACL

MZSR_ID1072_for_ACL

MaskRCNN_for_ACL

MicroexpNet_ID1157_for_ACL

Milking_cowmask_ID0712_for_ACL

Mixmatch_ID0804_for_ACL

Mixnet_ID2072_for_ACL

MnasNet_ID0728_for_ACL

NIMA_ID0853_for_ACL

NIMA_for_ACL

NOISE2NOISE_ID800_for_ACL

Non_Local_Net_ID0274_for_ACL

OOD_ID2046_for_ACL

OSNet_ID1379_for_ACL

PFE_ID0982_for_ACL

PRIDNET_ID1275_for_ACL

PROTOTYPICAL-NETWORKS_ID1286_for_ACL

PRSR_ID2111_for_ACL

PWCNet_for_ACL

PairedCycleGAN_ID1281_for_ACL

Pix2Vox_ID1284_for_ACL

Pix2pose_ID1164_for_TensorFlow_ACL

PointNet_ID0266_for_ACL

Polygen_ID2061_for_ACL

PyramidBox_ID0971_for_ACL

RANDLA-NET_ID0850_for_ACL

Realmix_ID1248_for _ACL

Rebar_ID2016_for_ACL

RetinexNet_ID0936_for_ACL

Revisiting_self_supervised_ID0935_for_ACL

RobotPlayChess_ID_for_ACL

SENet_ID0145_for_ACL

SII_ID2113_for_ACL

SRGAN_ID2087_for_ACL

SSD_InceptionV2_for_ACL

SSD_MobileNetV1_FPN_for_ACL

STGAN_ID1473_for_ACL

STNet_ID2360_for_ACL

SWD_ID1211_for_ACL

SYMNET_ID1292_for_ACL

SegdecNet_for_ACL

SeqGAN_ID2096_for_ACL

SimpleHumanPose_ID0956_for_ACL

Slot-Attention_ID2028_for_ACL

SphereFace_ID0771_for_ACL

SpineNet_ID0709_for_ACL

StarGAN_ID0725_for_ACL

StarGAN_ID1472_for_ACL

StarGAN_v2_ID1188_for_ACL

TCN-KERAS_ID2665_for_ACL

TCN_ID1231_for_ACL

TNT_ID1233_for_ACL

TSN_for_ACL

dataset

inference

xacl_fmk

.keep

LICENSE

README.md

README_EN.md

modelzoo_level.txt

requirements.txt

TransNet_for_ACL

Transferring-Gan_ID1252_for_ACL

UDCVO_ID2359_for_ACL

UGATIT_ID0722_for_ACL

Unsupervised_Person_Re-identification_ID1028_for_ACL

VAEGAN_for_ACL

VAT_ID1002_for_ACL

VDSR_ID2114_for_ACL

VGG19_ID0374_for_ACL

VSL_ID1291_for_ACL

VisionTransformer_ID1217_for_ACL

White-Box-Cartoonization_ID2089_for_ACL

YAD2K_ID2086_for_ACL

YOLOV5_ID0378_for_ACL

Yolov5_for_ACL

assembled-cnn_ID0941_for_ACL

dilatedrnn/DilatedRNN_ID0927_for_ACL

mobilefacenet-V2_ID0929_for_ACL

monoculartotalcapture_ID0866_for_ACL

prnet_for_ACL

squeezeseg_ID0873_for_ACL

srdrm_ID1282_for_ACL

stackgan_ID0760_for_TensorFlow

voxelmorph_ID2120_for_ACL

.DS_Store

.keep

README_EN.md

graph

nlp

recommendation

reinforcement_learning

.keep

TensorFlow

TensorFlow2

Tools/ascend_distribute

.gitignore

.gitmodules

LICENSE

NOTICE

README.CN.md

README.md

Third_Party_Open_Source_Software_Notice

克隆/下载

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modelzoo_level.txt

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requirements.txt

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README

TSN TensorFlow离线推理

中文|English

TSN TensorFlow离线推理

此链接提供Vgg16 TensorFlow模型在NPU上离线推理的脚本和方法

TSN 推理基于M-PACT

注意

此案例仅为您学习Ascend软件栈提供参考，不用于商业目的。

在开始之前，请注意以下适配条件。如果不匹配，可能导致运行失败。

Conditions	Need
CANN版本	>=5.0.3
芯片平台	Ascend310/Ascend310P3
第三方依赖	请参考 'requirements.txt'

快速指南

1. 拷贝代码

git clone https://gitee.com/ascend/ModelZoo-TensorFlow.git
cd modelzoo/tree/master/built-in/ACL_TensorFlow/Research/cv/TSN_for_ACL/inference

2. 下载数据集和预处理

请自行下载数据集, 更多详细信息请参见: UCF101

3. 获取权重

获取ckpt模型, 更多详细信息请参见: weights

4. 编译程序

构建推理应用程序, 更多详细信息请参见: xacl_fmk

5. 离线推理

环境变量设置 请参考说明，设置环境变量

预处理

bash run_dump.sh

Pb模型转换为om模型

pb模型下载链接

atc --model=./models/TSN_gpu.pb --framework=3 --output=./models/TSN_gpu --soc_version=Ascend310 --input_shape="Placeholder:1,250,224,224,3" --log=info

运行推理

python3 xacl_inference.py

后期处理

bash run_infernece.sh

6. 演示

结果

我们通过准确性衡量精度

	Ascend310
Accuracy	0.9266

马建仓 AI 助手

尝试更多

代码解读

代码找茬

代码优化

1

https://gitee.com/ascend/ModelZoo-TensorFlow.git

git@gitee.com:ascend/ModelZoo-TensorFlow.git

ascend

ModelZoo-TensorFlow

ModelZoo-TensorFlow

master