过年前运行过的程序，这半年没回实验室，今天回到实验室，发现还能运行，记录一下本次运行日志，以备以后参考。
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ python realsense_mask_2020091801.py
Using TensorFlow backend.
Configurations:
BACKBONE resnet101
BACKBONE_STRIDES [4, 8, 16, 32, 64]
BATCH_SIZE 1
BBOX_STD_DEV [0.1 0.1 0.2 0.2]
COMPUTE_BACKBONE_SHAPE None
DETECTION_MAX_INSTANCES 100
DETECTION_MIN_CONFIDENCE 0.7
DETECTION_NMS_THRESHOLD 0.3
FPN_CLASSIF_FC_LAYERS_SIZE 1024
GPU_COUNT 1
GRADIENT_CLIP_NORM 5.0
IMAGES_PER_GPU 1
IMAGE_MAX_DIM 320
IMAGE_META_SIZE 15
IMAGE_MIN_DIM 32
IMAGE_MIN_SCALE 0
IMAGE_RESIZE_MODE square
IMAGE_SHAPE [320 320 3]
LEARNING_MOMENTUM 0.9
LEARNING_RATE 0.001
LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE 14
MASK_SHAPE [28, 28]
MAX_GT_INSTANCES 100
MEAN_PIXEL [123.7 116.8 103.9]
MINI_MASK_SHAPE (56, 56)
NAME shapes
NUM_CLASSES 3
POOL_SIZE 7
POST_NMS_ROIS_INFERENCE 1000
POST_NMS_ROIS_TRAINING 2000
ROI_POSITIVE_RATIO 0.33
RPN_ANCHOR_RATIOS [0.5, 1, 2]
RPN_ANCHOR_SCALES (48, 96, 192, 384, 768)
RPN_ANCHOR_STRIDE 1
RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD 0.7
RPN_TRAIN_ANCHORS_PER_IMAGE 256
STEPS_PER_EPOCH 50
TOP_DOWN_PYRAMID_SIZE 256
TRAIN_BN False
TRAIN_ROIS_PER_IMAGE 100
USE_MINI_MASK True
USE_RPN_ROIS True
VALIDATION_STEPS 10
WEIGHT_DECAY 0.0001
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:504: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:68: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3828: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3652: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:1937: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:341: The name tf.log is deprecated. Please use tf.math.log instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:399: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:423: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:723: The name tf.sets.set_intersection is deprecated. Please use tf.sets.intersection instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:725: The name tf.sparse_tensor_to_dense is deprecated. Please use tf.sparse.to_dense instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:775: 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.
Traceback (most recent call last):
File "realsense_mask_2020091801.py", line 217, in <module>
pipeline.start(configM)
RuntimeError: Couldn't resolve requests
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$
(wind1) star@xmatrix:~/Mask_RCNN_realsense_2$ python realsense_mask_2020091801.py
Using TensorFlow backend.
Configurations:
BACKBONE resnet101
BACKBONE_STRIDES [4, 8, 16, 32, 64]
BATCH_SIZE 1
BBOX_STD_DEV [0.1 0.1 0.2 0.2]
COMPUTE_BACKBONE_SHAPE None
DETECTION_MAX_INSTANCES 100
DETECTION_MIN_CONFIDENCE 0.7
DETECTION_NMS_THRESHOLD 0.3
FPN_CLASSIF_FC_LAYERS_SIZE 1024
GPU_COUNT 1
GRADIENT_CLIP_NORM 5.0
IMAGES_PER_GPU 1
IMAGE_MAX_DIM 320
IMAGE_META_SIZE 15
IMAGE_MIN_DIM 32
IMAGE_MIN_SCALE 0
IMAGE_RESIZE_MODE square
IMAGE_SHAPE [320 320 3]
LEARNING_MOMENTUM 0.9
LEARNING_RATE 0.001
LOSS_WEIGHTS {'rpn_class_loss': 1.0, 'rpn_bbox_loss': 1.0, 'mrcnn_class_loss': 1.0, 'mrcnn_bbox_loss': 1.0, 'mrcnn_mask_loss': 1.0}
MASK_POOL_SIZE 14
MASK_SHAPE [28, 28]
MAX_GT_INSTANCES 100
MEAN_PIXEL [123.7 116.8 103.9]
MINI_MASK_SHAPE (56, 56)
NAME shapes
NUM_CLASSES 3
POOL_SIZE 7
POST_NMS_ROIS_INFERENCE 1000
POST_NMS_ROIS_TRAINING 2000
ROI_POSITIVE_RATIO 0.33
RPN_ANCHOR_RATIOS [0.5, 1, 2]
RPN_ANCHOR_SCALES (48, 96, 192, 384, 768)
RPN_ANCHOR_STRIDE 1
RPN_BBOX_STD_DEV [0.1 0.1 0.2 0.2]
RPN_NMS_THRESHOLD 0.7
RPN_TRAIN_ANCHORS_PER_IMAGE 256
STEPS_PER_EPOCH 50
TOP_DOWN_PYRAMID_SIZE 256
TRAIN_BN False
TRAIN_ROIS_PER_IMAGE 100
USE_MINI_MASK True
USE_RPN_ROIS True
VALIDATION_STEPS 10
WEIGHT_DECAY 0.0001
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:504: The name tf.placeholder is deprecated. Please use tf.compat.v1.placeholder instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:68: The name tf.get_default_graph is deprecated. Please use tf.compat.v1.get_default_graph instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3828: The name tf.random_uniform is deprecated. Please use tf.random.uniform instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3652: The name tf.nn.max_pool is deprecated. Please use tf.nn.max_pool2d instead.
WARNING:tensorflow:From /home/star/anaconda3/envs/wind1/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:1937: The name tf.image.resize_nearest_neighbor is deprecated. Please use tf.compat.v1.image.resize_nearest_neighbor instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:341: The name tf.log is deprecated. Please use tf.math.log instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:399: add_dispatch_support.<locals>.wrapper (from tensorflow.python.ops.array_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.where in 2.0, which has the same broadcast rule as np.where
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:423: calling crop_and_resize_v1 (from tensorflow.python.ops.image_ops_impl) with box_ind is deprecated and will be removed in a future version.
Instructions for updating:
box_ind is deprecated, use box_indices instead
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:723: The name tf.sets.set_intersection is deprecated. Please use tf.sets.intersection instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:725: The name tf.sparse_tensor_to_dense is deprecated. Please use tf.sparse.to_dense instead.
WARNING:tensorflow:From /home/star/Mask_RCNN_realsense_2/model.py:775: 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.
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 139.10000 float64
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image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
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Processing 1 images
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/home/star/Mask_RCNN_realsense_2/mrcnn/visualize.py:198: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).
_, ax = plt.subplots(1, figsize=figsize)
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Processing 1 images
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Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
---S-------------------------------
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top:192 299
[1]
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
---S-------------------------------
---E-------------------------------
top:190 301
[1]
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 148.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 149.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
---E-------------------------------
*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
image shape: (480, 640, 3) min: 0.00000 max: 255.00000 uint8
molded_images shape: (1, 320, 320, 3) min: -123.70000 max: 150.10000 float64
image_metas shape: (1, 15) min: 0.00000 max: 640.00000 float64
anchors shape: (1, 25575, 4) min: -1.70238 max: 2.50175 float32
*** No instances to display ***
---S-------------------------------
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*** No instances to display ***
[]
*** No instances to display ***
Processing 1 images
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