error:eval.py

[YCICI]

resnet_v1_50/block1 (?, ?, ?, 256) resnet_v1_50/block2 (?, ?, ?, 512) resnet_v1_50/block3 (?, ?, ?, 1024) resnet_v1_50/block4 (?, ?, ?, 2048) Shape of f_0 (?, ?, ?, 2048) Shape of f_1 (?, ?, ?, 512) Shape of f_2 (?, ?, ?, 256) Shape of f_3 (?, ?, ?, 64) Shape of h_0 (?, ?, ?, 2048), g_0 (?, ?, ?, 2048) Shape of h_1 (?, ?, ?, 128), g_1 (?, ?, ?, 128) Shape of h_2 (?, ?, ?, 64), g_2 (?, ?, ?, 64) Shape of h_3 (?, ?, ?, 32), g_3 (?, ?, ?, 32) 2019-07-13 17:34:25.657358: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 2019-07-13 17:34:25.657378: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations. 2019-07-13 17:34:25.657397: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations. 2019-07-13 17:34:25.657401: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 2019-07-13 17:34:25.657405: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. 2019-07-13 17:34:25.793945: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:893] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2019-07-13 17:34:25.794356: I tensorflow/core/common_runtime/gpu/gpu_device.cc:955] Found device 0 with properties: name: GeForce GTX 1080 Ti major: 6 minor: 1 memoryClockRate (GHz) 1.582 pciBusID 0000:01:00.0 Total memory: 10.91GiB Free memory: 10.46GiB 2019-07-13 17:34:25.794383: I tensorflow/core/common_runtime/gpu/gpu_device.cc:976] DMA: 0 2019-07-13 17:34:25.794388: I tensorflow/core/common_runtime/gpu/gpu_device.cc:986] 0: Y 2019-07-13 17:34:25.794394: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1045] Creating TensorFlow device (/gpu:0) -> (device: 0, name: GeForce GTX 1080 Ti, pci bus id: 0000:01:00.0) Restore from tmp/east_icdar2015_resnet_v1_50_rbox/model.ckpt-51511 Find 16 images 1654 text boxes before nms tmp/testimages/T1.jN7XvpiXXXXXXXX!!0-item_pic.jpg.jpg : net 568ms, restore 1ms, nms 332ms [timing] 0.9037349224090576 1174 text boxes before nms tmp/test_images/T1.AK_XX8hXXbnu_Z1_042512.jpg.jpg : net 155ms, restore 1ms, nms 409ms [timing] 0.5666825771331787 2499 text boxes before nms tmp/testimages/T1aMK6FtdbXXXXXXXX!!0-item_pic.jpg.jpg : net 153ms, restore 1ms, nms 494ms [timing] 0.6600251197814941 1384 text boxes before nms tmp/testimages/T1alCjFaVfXXXXXXXX!!0-item_pic.jpg.jpg : net 159ms, restore 1ms, nms 294ms [timing] 0.4563775062561035 152 text boxes before nms tmp/test_images/T1bm5jXkFiXXXJoqk3_045737.jpg.jpg : net 45ms, restore 0ms, nms 31ms [timing] 0.07764148712158203 2157 text boxes before nms tmp/testimages/T1BFhmFKFdXXXXXXXX!!0-item_pic.jpg.jpg : net 169ms, restore 1ms, nms 516ms [timing] 0.6885249614715576 3084 text boxes before nms tmp/testimages/T1.MlmFvtbXXXXXXXX!!0-item_pic.jpg.jpg : net 26ms, restore 2ms, nms 683ms [timing] 0.7141339778900146 761 text boxes before nms tmp/testimages/T1b7UvXohaXXXXXXXX!!0-item_pic.jpg.jpg : net 141ms, restore 1ms, nms 147ms [timing] 0.2900080680847168 634 text boxes before nms tmp/testimages/T1.3BPFFJdXXXXXXXX!!0-item_pic.jpg.jpg : net 54ms, restore 0ms, nms 123ms [timing] 0.17859339714050293 1478 text boxes before nms tmp/test_images/T1.WBXtXdXXXXXXXX!!0-item_pic.jpg.jpg : net 24ms, restore 1ms, nms 429ms [timing] 0.4661214351654053 170 text boxes before nms tmp/testimages/T1Bk36FAJaXXXXXXXX!!0-item_pic.jpg.jpg : net 55ms, restore 0ms, nms 56ms [timing] 0.11475515365600586 1538 text boxes before nms tmp/testimages/T1A3mtFspcXXXXXXXX!!0-item_pic.jpg.jpg : net 19ms, restore 1ms, nms 285ms [timing] 0.3065202236175537 3509 text boxes before nms tmp/testimages/T1.lF7XuXbXXXXXXXX!!0-item_pic.jpg.jpg : net 168ms, restore 2ms, nms 809ms [timing] 0.9917988777160645 634 text boxes before nms tmp/test_images/img_1.jpg : net 9ms, restore 0ms, nms 123ms [timing] 0.14594149589538574 833 text boxes before nms tmp/testimages/T1AtFRFzRaXXXXXXXX!!0-item_pic.jpg.jpg : net 53ms, restore 1ms, nms 183ms [timing] 0.24810004234313965 3521 text boxes before nms tmp/test_images/T1B_83XhVvXXcwVOrX_115518.jpg.jpg : net 173ms, restore 2ms, nms 692ms [timing] 0.8713943958282471

[YCICI]

when I test eval.py,it does work,but I can't find any out_images in my output_dir. Anyone else meet the same problem?I don't konw where I have mistake?How can I solve this problem?

[YCICI]

I know the problem.This problem is no sense.

[woodenblood]

@YCICI I have the same problem with U, Could you tell me what's the problem