物体检测训练没有开始：
(tensorflow_cpu) C:\Users\AB\Tensorflow\workplace\training_demo>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_inception_v2_coco.config
WARNING:tensorflow:From C:\Users\AB\Anaconda3\envs\tensorflow_cpu\lib\site-packages\tensorflow\python\platform\app.py:125: main (from __main__) is deprecated and will be removed in a future version.
Instructions for updating:
Use object_detection/model_main.py.
WARNING:tensorflow:From C:\Users\AB\Anaconda3\envs\tensorflow_cpu\lib\site-packages\object_detection\legacy\trainer.py:266: create_global_step (from tensorflow.contrib.framework.python.ops.variables) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.create_global_step
WARNING:tensorflow:num_readers has been reduced to 1 to match input file shards.
WARNING:tensorflow:From C:\Users\AB\Anaconda3\envs\tensorflow_cpu\lib\site-packages\object_detection\core\preprocessor.py:1240: calling squeeze (from tensorflow.python.ops.array_ops) with squeeze_dims is deprecated and will be removed in a future version.
Instructions for updating:
Use the `axis` argument instead
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
INFO:tensorflow:depth of additional conv before box predictor: 0
WARNING:tensorflow:From C:\Users\AB\Anaconda3\envs\tensorflow_cpu\lib\site-packages\tensorflow\contrib\slim\python\slim\learning.py:737: Supervisor.__init__ (from tensorflow.python.training.supervisor) is deprecated and will be removed in a future version.
Instructions for updating:
Please switch to tf.train.MonitoredTrainingSession
2020-02-07 19:19:54.161321: I T:\src\github\tensorflow\tensorflow\core\platform\cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
INFO:tensorflow:Restoring parameters from training/model.ckpt-0
INFO:tensorflow:Running local_init_op.
INFO:tensorflow:Done running local_init_op.
INFO:tensorflow:Starting Session.
INFO:tensorflow:Saving checkpoint to path training/model.ckpt
INFO:tensorflow:Starting Queues.
INFO:tensorflow:global_step/sec: 0
2020-02-07 19:20:24.185848: I T:\src\github\tensorflow\tensorflow\core\kernels\data\shuffle_dataset_op.cc:95] Filling up shuffle buffer (this may take a while): 398 of 2048
2020-02-07 19:20:33.939501: I T:\src\github\tensorflow\tensorflow\core\kernels\data\shuffle_dataset_op.cc:95] Filling up shuffle buffer (this may take a while): 547 of 2048
2020-02-07 19:20:43.980141: I T:\src\github\tensorflow\tensorflow\core\kernels\data\shuffle_dataset_op.cc:95] Filling up shuffle buffer (this may take a while): 713 of 2048
2020-02-07 19:20:53.942496: I T:\src\github\tensorflow\tensorflow\core\kernels\data\shuffle_dataset_op.cc:95] Filling up shuffle buffer (this may take a while): 871 of 2048
config
model {
ssd {
num_classes: 10
box_coder {
faster_rcnn_box_coder {
y_scale: 10.0
x_scale: 10.0
height_scale: 5.0
width_scale: 5.0
}
}
matcher {
argmax_matcher {
matched_threshold: 0.5
unmatched_threshold: 0.5
ignore_thresholds: false
negatives_lower_than_unmatched: true
force_match_for_each_row: true
}
}
similarity_calculator {
iou_similarity {
}
}
anchor_generator {
ssd_anchor_generator {
num_layers: 6
min_scale: 0.2
max_scale: 0.95
aspect_ratios: 1.0
aspect_ratios: 2.0
aspect_ratios: 0.5
aspect_ratios: 3.0
aspect_ratios: 0.3333
reduce_boxes_in_lowest_layer: true
}
}
image_resizer {
fixed_shape_resizer {
height: 300
width: 300
}
}
box_predictor {
convolutional_box_predictor {
min_depth: 0
max_depth: 0
num_layers_before_predictor: 0
use_dropout: false
dropout_keep_probability: 0.8
kernel_size: 3
box_code_size: 4
apply_sigmoid_to_scores: false
conv_hyperparams {
activation: RELU_6,
regularizer {
l2_regularizer {
weight: 0.00004
}
}
initializer {
truncated_normal_initializer {
stddev: 0.03
mean: 0.0
}
}
}
}
}
feature_extractor {
type: 'ssd_inception_v2'
min_depth: 16
depth_multiplier: 1.0
conv_hyperparams {
activation: RELU_6,
regularizer {
l2_regularizer {
weight: 0.00004
}
}
initializer {
truncated_normal_initializer {
stddev: 0.03
mean: 0.0
}
}
batch_norm {
train: true,
scale: true,
center: true,
decay: 0.9997,
epsilon: 0.001,
}
}
override_base_feature_extractor_hyperparams: true
}
loss {
classification_loss {
weighted_sigmoid {
}
}
localization_loss {
weighted_smooth_l1 {
}
}
hard_example_miner {
num_hard_examples: 3000
iou_threshold: 0.99
loss_type: CLASSIFICATION
max_negatives_per_positive: 3
min_negatives_per_image: 0
}
classification_weight: 1.0
localization_weight: 1.0
}
normalize_loss_by_num_matches: true
post_processing {
batch_non_max_suppression {
score_threshold: 1e-8
iou_threshold: 0.6
max_detections_per_class: 100
max_total_detections: 100
}
score_converter: SIGMOID
}
}
}
train_config: {
batch_size: 1
optimizer {
rms_prop_optimizer: {
learning_rate: {
exponential_decay_learning_rate {
initial_learning_rate: 0.004
decay_steps: 800720
decay_factor: 0.95
}
}
momentum_optimizer_value: 0.9
decay: 0.9
epsilon: 1.0
}
}
fine_tune_checkpoint: "C:/Users/AB/Tensorflow/workplace/training_demo/pre-trained-model/model.ckpt"
from_detection_checkpoint: true
num_steps: 200000
fine_tune_checkpoint:"C:/Users/AB/Tensorflow/workplace/training_demo/pre-trained-model/model.ckpt"
fine_tune_checkpoint_type: "detection"
data_augmentation_options {
random_horizontal_flip {
}
}
data_augmentation_options {
ssd_random_crop {
}
}
}
train_input_reader: {
tf_record_input_reader {
input_path: "C:/Users/AB/Tensorflow/workplace/training_demo/annotations/train.record"
}
label_map_path: "C:/Users/AB/Tensorflow/workplace/training_demo/annotations/label_map.pbtxt"
}
eval_config: {
num_examples: 8000
# Note: The below line limits the evaluation process to 10 evaluations.
# Remove the below line to evaluate indefinitely.
max_evals: 10
}
eval_input_reader: {
tf_record_input_reader {
input_path: "C:/Users/AB/Tensorflow/workplace/training_demo/annotations/test.record"
}
label_map_path: "C:/Users/AB/Tensorflow/workplace/training_demo/annotations/label_map.pbtxt"
shuffle: false
num_readers: 1
}
OS平台和发行版：Windows 10
Tensorflow：1.9 cpu版本
tran.py用于培训
我正在使用BootCamp在MacBook Pro中安装的Windows系统。有时，当我运行训练命令时，计算机崩溃并变成黑屏。它与我的培训问题有关吗？