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samples/python/level2_simple_inference/n_e2e
m00526606 b3938dc91a 安全性整改 1 year ago
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README.md

English|中文

End-to-end examples from training to inference

Directory structure and description

This catalog contains multiple end-to-end samples for users' reference. The directory structure and specific instructions are as follows.

sample description
GoogleNet_e2e Full-process development of GoogleNet image classification application (MindSpore training + AscendCL reasoning)
LeNet_e2e LeNet image classification application full process development (MindSpore training + AscendCL reasoning)
ResNet50_e2e ResNet50 image classification application full process development (MindSpore training + AscendCL reasoning)
YOLOV3_mask_detection_e2e ModelArts+Ascend310 From modelarts to offline deployment, develop mask recognition AI application (picture input + picture output)
garbage_e2e MindSpore+Ascend310 From MindSpore to offline deployment, develop AI applications for garbage classification (picture input + picture output)
vgg16_cat_dog_e2e ModelArts- jupyter +Ascend310 From ModelArts to offline deployment, develop AI applications for cat and dog recognition (picture input + picture output)
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