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Google Brain AutoML
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I use the efficientdet-d0 model for reasoning, but the reasoning picture does not have the effect of rectangular box? #74

Closed goldwater668 closed 4 years ago

goldwater668 commented 4 years ago

2020-03-27 20:29:13.328542: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer.so.6 2020-03-27 20:29:13.329598: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libnvinfer_plugin.so.6 WARNING:tensorflow:From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/compat/v2_compat.py:88: disable_resource_variables (from tensorflow.python.ops.variable_scope) is deprecated and will be removed in a future version. Instructions for updating: non-resource variables are not supported in the long term 2020-03-27 20:29:13.955696: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2020-03-27 20:29:13.980297: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:13.980864: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties: pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2020-03-27 20:29:13.980941: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2020-03-27 20:29:13.981017: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-03-27 20:29:13.981766: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2020-03-27 20:29:13.981974: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2020-03-27 20:29:13.982926: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2020-03-27 20:29:13.983663: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2020-03-27 20:29:13.983743: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-03-27 20:29:13.983807: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:13.984336: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:13.984800: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0 2020-03-27 20:29:13.985040: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 FMA 2020-03-27 20:29:14.007984: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 3600000000 Hz 2020-03-27 20:29:14.008362: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x39b6400 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2020-03-27 20:29:14.008545: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2020-03-27 20:29:14.088095: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:14.088587: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x392d960 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2020-03-27 20:29:14.088724: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce RTX 2080 Ti, Compute Capability 7.5 2020-03-27 20:29:14.088890: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:14.089295: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties: pciBusID: 0000:01:00.0 name: GeForce RTX 2080 Ti computeCapability: 7.5 coreClock: 1.545GHz coreCount: 68 deviceMemorySize: 10.76GiB deviceMemoryBandwidth: 573.69GiB/s 2020-03-27 20:29:14.089370: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2020-03-27 20:29:14.089437: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 2020-03-27 20:29:14.089510: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10 2020-03-27 20:29:14.089577: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10 2020-03-27 20:29:14.089645: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10 2020-03-27 20:29:14.089669: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10 2020-03-27 20:29:14.089691: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-03-27 20:29:14.089735: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:14.090080: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:14.090402: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0 2020-03-27 20:29:14.090434: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1 2020-03-27 20:29:14.250949: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix: 2020-03-27 20:29:14.251062: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0 2020-03-27 20:29:14.251242: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N 2020-03-27 20:29:14.251549: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:14.252163: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 2020-03-27 20:29:14.252682: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10121 MB memory) -> physical GPU (device: 0, name: GeForce RTX 2080 Ti, pci bus id: 0000:01:00.0, compute capability: 7.5) WARNING:tensorflow:From /data/internet/AI/automl/efficientdet/dataloader.py:100: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. W0327 20:29:14.281555 140386854647616 deprecation.py:323] From /data/internet/AI/automl/efficientdet/dataloader.py:100: to_float (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. WARNING:tensorflow:From /data/internet/AI/automl/efficientdet/dataloader.py:102: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. W0327 20:29:14.283189 140386854647616 deprecation.py:323] From /data/internet/AI/automl/efficientdet/dataloader.py:102: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. WARNING:tensorflow:From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1635: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version. Instructions for updating: If using Keras pass _constraint arguments to layers. W0327 20:29:15.400412 140386854647616 deprecation.py:506] From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/ops/resource_variable_ops.py:1635: calling BaseResourceVariable.init (from tensorflow.python.ops.resource_variable_ops) with constraint is deprecated and will be removed in a future version. Instructions for updating: If using Keras pass _constraint arguments to layers. WARNING:tensorflow:From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version. Instructions for updating: Use tf.compat.v1.graph_util.tensor_shape_from_node_def_name W0327 20:29:17.909279 140386854647616 deprecation.py:323] From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/profiler/internal/flops_registry.py:142: tensor_shape_from_node_def_name (from tensorflow.python.framework.graph_util_impl) is deprecated and will be removed in a future version. Instructions for updating: Use tf.compat.v1.graph_util.tensor_shape_from_node_def_name WARNING:tensorflow:From /data/internet/AI/automl/efficientdet/efficientdet_arch.py:94: conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version. Instructions for updating: Use tf.keras.layers.Conv2D instead. W0327 20:29:18.113473 140386854647616 deprecation.py:323] From /data/internet/AI/automl/efficientdet/efficientdet_arch.py:94: conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version. Instructions for updating: Use tf.keras.layers.Conv2D instead. WARNING:tensorflow:From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/layers/convolutional.py:424: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: Please use layer.__call__ method instead. W0327 20:29:18.114022 140386854647616 deprecation.py:323] From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/layers/convolutional.py:424: Layer.apply (from tensorflow.python.keras.engine.base_layer) is deprecated and will be removed in a future version. Instructions for updating: Please use layer.__call__ method instead. WARNING:tensorflow:From /data/internet/AI/automl/efficientdet/efficientdet_arch.py:121: max_pooling2d (from tensorflow.python.layers.pooling) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.MaxPooling2D instead. W0327 20:29:18.137391 140386854647616 deprecation.py:323] From /data/internet/AI/automl/efficientdet/efficientdet_arch.py:121: max_pooling2d (from tensorflow.python.layers.pooling) is deprecated and will be removed in a future version. Instructions for updating: Use keras.layers.MaxPooling2D instead. WARNING:tensorflow:From /data/internet/AI/automl/efficientdet/efficientdet_arch.py:516: separable_conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version. Instructions for updating: Use tf.keras.layers.SeparableConv2D instead. W0327 20:29:18.148901 140386854647616 deprecation.py:323] From /data/internet/AI/automl/efficientdet/efficientdet_arch.py:516: separable_conv2d (from tensorflow.python.layers.convolutional) is deprecated and will be removed in a future version. Instructions for updating: Use tf.keras.layers.SeparableConv2D instead. WARNING:tensorflow:From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/training/moving_averages.py:433: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version. Instructions for updating: Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts. W0327 20:29:21.665508 140386854647616 deprecation.py:323] From /home/hjq/anaconda3/envs/efficientDet/lib/python3.6/site-packages/tensorflow_core/python/training/moving_averages.py:433: Variable.initialized_value (from tensorflow.python.ops.variables) is deprecated and will be removed in a future version. Instructions for updating: Use Variable.read_value. Variables in 2.X are initialized automatically both in eager and graph (inside tf.defun) contexts. WARNING:tensorflow:From /data/internet/AI/automl/efficientdet/det_model_fn.py:316: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Deprecated in favor of operator or tf.math.divide. W0327 20:29:32.980791 140386854647616 deprecation.py:323] From /data/internet/AI/automl/efficientdet/det_model_fn.py:316: div (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Deprecated in favor of operator or tf.math.divide. WARNING:tensorflow:From /data/internet/AI/automl/efficientdet/anchors.py:398: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version. Instructions for updating: tf.py_func is deprecated in TF V2. Instead, there are two options available in V2.

W0327 20:29:32.993462 140386854647616 deprecation.py:323] From /data/internet/AI/automl/efficientdet/anchors.py:398: py_func (from tensorflow.python.ops.script_ops) is deprecated and will be removed in a future version. Instructions for updating: tf.py_func is deprecated in TF V2. Instead, there are two options available in V2.

2020-03-27 20:29:34.324642: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7 2020-03-27 20:29:35.100379: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10 ckpt_path: /data/internet/AI/automl/efficientdet/ckpt/efficientdet-d0/ Parsing Inputs... Parsing Inputs... Parsing Inputs...

zldrobit commented 4 years ago

I also tested inference on RTX 2080 Ti while getting no bounding boxes, but I got bounding boxes with RTX 2080.

zldrobit commented 4 years ago

After I checked out 3d88847cc18c69d194490f039279502ddcb536f2, it works again. There are some breaking changes have been introduced in the project by later commits.

mingxingtan commented 4 years ago

Good to know it works now. closing this issue for now.