- 原始模型文件
ResNet V1 50
http://download.tensorflow.or... - 矫正集
dataset.npy和label.npy矫正集文件
链接: https://pan.baidu.com/s/1n-sv... 提取码: vadh cfg 文件
resnet_50_run.cfg
链接: https://pan.baidu.com/s/1kNZ5... 提取码: 2umb[Common] mode=run [Parser] model_name = resnet_50 detection_postprocess = model_domain = image_classification output = resnet_v1_50/predictions/Reshape_1 input_model = ./resnet_v1_50_frozen.pb input = input input_shape = [1,224,224,3] output_dir = ./ [AutoQuantizationTool] model_name = resnet_50 quantize_method = SYMMETRIC ops_per_channel = DepthwiseConv calibration_data = ./dataset.npy calibration_label = ./label.npy preprocess_mode = normalize quant_precision=int8 reverse_rgb = False label_id_offset = 0 [GBuilder] inputs=./input.bin simulator=aipu_simulator_z1 outputs=output_resnet_50.bin profile= True target=Z1_0701simulator 执行结果
aipubuild resnet_50_run.cfg
运行之后得到 output_resnet_50.bin，使用 quant_predict.py 解析后：predict first 5 label: index 230, prob 11, name: Old English sheepdog, bobtail index 232, prob 2, name: collie index 224, prob 1, name: schipperke index 999, prob 0, name: ear, spike, capitulum index 329, prob 0, name: sea urchin true first 5 label: index 230, prob 109, name: Old English sheepdog, bobtail index 231, prob 96, name: Shetland sheepdog, Shetland sheep dog, Shetland index 232, prob 57, name: collie index 226, prob 54, name: malinois index 263, prob 53, name: Brabancon griffon Detect picture save to result.jpeg测试图片：
5.模型实机测试
待审核通过收到实机后测试
