Intel Realsense D435 开始运行启动时报错:RuntimeError: Couldn't resolve requests 原因及解决办法
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Intel Realsense D435 开始运行启动时报错:RuntimeError: Couldn't resolve requests 原因及解决办法
小編覺得挺不錯(cuò)的,現(xiàn)在分享給大家,幫大家做個(gè)參考.
攝像頭有時(shí)候在啟動(dòng)時(shí)會(huì)報(bào)錯(cuò),錯(cuò)誤信息:
D:\20191031_tensorflow_yolov3\python\python.exe D:/20191031_tensorflow_yolov3/tensorflow-yolov3/dontla_evaluate_detect.py 2019-11-22 14:39:19.178316: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2019-11-22 14:39:19.909053: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 0 with properties: name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.6575 pciBusID: 0000:09:00.0 totalMemory: 11.00GiB freeMemory: 9.10GiB 2019-11-22 14:39:20.034670: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 1 with properties: name: GeForce GT 710 major: 3 minor: 5 memoryClockRate(GHz): 0.954 pciBusID: 0000:05:00.0 totalMemory: 2.00GiB freeMemory: 1.67GiB 2019-11-22 14:39:20.035266: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1461] Ignoring visible gpu device (device: 1, name: GeForce GT 710, pci bus id: 0000:05:00.0, compute capability: 3.5) with Cuda compute capability 3.5. The minimum required Cuda capability is 3.7. 2019-11-22 14:39:20.035811: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1490] Adding visible gpu devices: 0 2019-11-22 14:39:21.303032: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] Device interconnect StreamExecutor with strength 1 edge matrix: 2019-11-22 14:39:21.303334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] 0 1 2019-11-22 14:39:21.303520: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0: N N 2019-11-22 14:39:21.303722: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 1: N N 2019-11-22 14:39:21.304067: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1103] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 8789 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:09:00.0, compute capability: 6.1) Traceback (most recent call last):File "D:/20191031_tensorflow_yolov3/tensorflow-yolov3/dontla_evaluate_detect.py", line 177, in <module>YoloTest().dontla_evaluate_detect()File "D:/20191031_tensorflow_yolov3/tensorflow-yolov3/dontla_evaluate_detect.py", line 137, in dontla_evaluate_detectpipeline.start(config) RuntimeError: Couldn't resolve requestsProcess finished with exit code 1原因不明。。。連續(xù)運(yùn)行很多次都這樣
本來想多啟動(dòng)幾次,想看看是否某次啟動(dòng)就好了,突然隔壁大叔過來告訴我們說要停電,好吧,那就測(cè)不了了。。。
正常關(guān)機(jī)后,停電來電后重啟電腦,啟動(dòng)程序,攝像頭又好了。。。
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