tensorflow-mtcnn
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mtcnn-embeded run error
Hi, I compiled the mtcnn embeded codes,then run it,got an error as below: ../../lib:/usr/local/lib:/usr/local/cuda-8.0/lib64:/usr/local/cuda-8.0/lib64:/usr/local/lib: 2017-12-27 11:02:44.944551: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 FMA 2017-12-27 11:02:45.084213: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:895] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2017-12-27 11:02:45.084773: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1062] Found device 0 with properties: name: GeForce GTX 970M major: 5 minor: 2 memoryClockRate(GHz): 1.038 pciBusID: 0000:01:00.0 totalMemory: 5.94GiB freeMemory: 5.36GiB 2017-12-27 11:02:45.084792: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1152] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 970M, pci bus id: 0000:01:00.0, compute capability: 5.2) run PNet error 2017-12-27 11:02:45.539095: F ../../include/tensorflow/core/lib/core/refcount.h:79] Check failed: ref_.load() == 0 (1 vs. 0) ./run.sh: line 6: 9237 Aborted (core dumped) ./mtcnn_embeded
can you help me! thanks !
Hi, I compile the tf_embedded mtcnn code on Ubuntu14.04 with Tensorflow1.4.0, I got same issue when run the binary file, but standalone mtcnn code works well. As to standalone mtcnn code, it can not be limited GPU memory, so how do you thing about it? Thanks
@delongqilinksprite @YaoQ
I cannot figure out the reason, as I haven't try newest TF yet. But could you please have a try: Compare the BUILD file of mtcnn sample and that of label_image, and check if anything related TF needs to upgrade?
Thanks,
Haitao
Meet the same problem. @cyberfire which version of tensorflow did you use?
Check failed: ref_.load() == 0 (1 vs. 0)
[1] 79155 abort ./main
tensorflow 1.4.1
I am using face detection using tensorflow 1.4 , but get below error while executing the code
/home/ashok/eclipseWorkspace/faceRecognition-x86_64_MTCNN/Libraries/tensorflow/include/tensorflow/core/lib/core/refcount.h:79] Check failed: ref_.load() == 0 (1 vs. 0)
generated from
Status run_status = sess->Run(input_tname,output_tname,output_node,&output_tensor);
form
run_PNet(std::unique_ptr<tensorflow::Session>& sess, cv::Mat& img, scale_window& win, std::vector<face_box>& box_list)
function
Please help resolve the issue
As stated in the referenced link by TimZaman, adding -DNDEBUG to the compiler did solve the issue. For more info, please follow the link.