D:\Yolov3_Tensorflow\python\python.exe D:/Yolov3_Tensorflow/tensorflow-yolov3/video_demo.py
2019-10-02 09:48:48.209137: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
2019-10-02 09:48:48.907262: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 0 with properties:
name: GeForce MX250 major: 6 minor: 1 memoryClockRate(GHz): 1.582
pciBusID: 0000:01:00.0
totalMemory: 2.00GiB freeMemory: 1.62GiB
2019-10-02 09:48:48.907463: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1490] Adding visible gpu devices: 0
2019-10-02 09:48:49.886713: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-02 09:48:49.886834: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] 0
2019-10-02 09:48:49.886922: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0: N
2019-10-02 09:48:49.887131: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 1374 MB memory) -> physical GPU (device: 0, name: GeForce MX250, pci bus id: 0000:01:00.0, compute capability: 6.1)
2019-10-02 09:49:06.266401: W tensorflow/core/common_runtime/bfc_allocator.cc:215] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.13GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2019-10-02 09:49:06.293074: W tensorflow/core/common_runtime/bfc_allocator.cc:215] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.14GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2019-10-02 09:49:06.296075: W tensorflow/core/common_runtime/bfc_allocator.cc:215] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.13GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2019-10-02 09:49:06.430939: W tensorflow/core/common_runtime/bfc_allocator.cc:215] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.60GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2019-10-02 09:49:06.506296: W tensorflow/core/common_runtime/bfc_allocator.cc:215] Allocator (GPU_0_bfc) ran out of memory trying to allocate 1.56GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
2019-10-02 09:49:06.519117: W tensorflow/core/common_runtime/bfc_allocator.cc:215] Allocator (GPU_0_bfc) ran out of memory trying to allocate 2.06GiB. The caller indicates that this is not a failure, but may mean that there could be performance gains if more memory were available.
Traceback (most recent call last):File "D:/Yolov3_Tensorflow/tensorflow-yolov3/video_demo.py", line 60, in <module>image = utils.draw_bbox(frame, bboxes)File "D:\Yolov3_Tensorflow\tensorflow-yolov3\core\utils.py", line 83, in draw_bboxbbox_color = colors[class_ind]
IndexError: list index out of range
[ WARN:1] terminating async callbackProcess finished with exit code 1
解決方案參見：YunYang1994/tensorflow-yolov3 IndexError: list index out of range 解決辦法
