高通SNPE sdk和SSD模型

Question

我尝试使用高通SNPE集成优化的SSD模型计算在我的Snap巨龙820。Il成功地将模型转换为DLC文件。

没有SSD模型集成的例子，我尝试不同的解决方案，但没有成功。

有人在snpe运行的网络可执行文件上找到示例或有解决方案吗？

编辑：

首先，当我生成dlc模型(来自tensorflow模型github)时，我得到了输出(这似乎是不正确的)：

./snpe-tensorflow-to-dlc --graph /home/xavier/Downloads/frozen_inference_graph.pb  -i Preprocessor/sub 300,300,3 --out_node detection_classes --out_node detection_boxes --out_node detection_scores --dlc mobilenet_ssd.dlc --allow_unconsumed_nodes
2018-03-11 22:34:33.243539: I tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA
2018-03-11 22:34:34.505804: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1890] has already been set.
2018-03-11 22:34:34.505849: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1847] has already been set.
2018-03-11 22:34:34.505869: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2137] has already been set.
2018-03-11 22:34:34.505884: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2140] has already been set.
2018-03-11 22:34:34.505924: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2143] has already been set.
2018-03-11 22:34:34.505935: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2141] has already been set.
2018-03-11 22:34:34.505950: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2144] has already been set.
2018-03-11 22:34:34.505964: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2146] has already been set.
2018-03-11 22:34:34.505977: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2148] has already been set.
2018-03-11 22:34:34.505991: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2150] has already been set.
2018-03-11 22:34:34.506004: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[2138] has already been set.
2018-03-11 22:34:34.506020: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1851] has already been set.
2018-03-11 22:34:34.506027: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1848] has already been set.
2018-03-11 22:34:34.506036: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1850] has already been set.
2018-03-11 22:34:34.506055: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1849] has already been set.
2018-03-11 22:34:34.506483: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1857] has already been set.
2018-03-11 22:34:34.506535: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1855] has already been set.
2018-03-11 22:34:34.506539: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1853] has already been set.
2018-03-11 22:34:34.506561: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1854] has already been set.
2018-03-11 22:34:34.506547: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1856] has already been set.
2018-03-11 22:34:34.506574: W tensorflow/core/framework/op_kernel.cc:1202] OP_REQUIRES failed at function_ops.cc:80 : Internal: Retval[1852] has already been set.
2018-03-11 22:34:34,512 - 391 - WARNING - ERROR_TF_FALLBACK_TO_ONDEMAND_EVALUATION: Unable to resolve operation output shapes in single pass. Using on-demand evaluation!

然后生成snpe运行的输出：

./snpe-net-run --container ./mobilenet_ssd.dlc --input_list ../../models/inception_v3/data/cropped/raw_list.txt

对于每个图像，它生成detection_classes:0.raw文件。

该文件不是空的，但似乎对所有图像都是一样的。

这是我得到的一个示例文件：

http://www.filedropper.com/detectionclasses0

Answer 1

您可以在中找到的使用情况