我正在基于此.cfg运行自定义yolo模型 在树莓派上运行 我不知道问题是否是由于内存不足引起的。我不这么认为
[net]
# Testing
batch=64
subdivisions=32
# Training
batch=64
subdivisions=32
height=416
width=416
channels=3
momentum=0.9
decay=0.0005
angle=0
saturation = 1.5
exposure = 1.5
hue=.1
learning_rate=0.001
burn_in=1000
max_batches = 80200
policy=steps
steps=40000,60000
scales=.1,.1
[convolutional]
batch_normalize=1
filters=32
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=64
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=64
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=128
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=256
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=3
stride=1
pad=1
activation=leaky
[maxpool]
size=2
stride=2
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=512
size=1
stride=1
pad=1
activation=leaky
[convolutional]
batch_normalize=1
filters=1024
size=3
stride=1
pad=1
activation=leaky
#######
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[route]
layers=-9
[convolutional]
batch_normalize=1
size=1
stride=1
pad=1
filters=64
activation=leaky
[reorg]
stride=2
[route]
layers=-1,-4
[convolutional]
batch_normalize=1
size=3
stride=1
pad=1
filters=1024
activation=leaky
[convolutional]
size=1
stride=1
pad=1
filters=30
activation=linear
[region]
anchors = 1.3221, 1.73145, 3.19275, 4.00944, 5.05587, 8.09892, 9.47112, 4.84053, 11.2364, 10.0071
bias_match=1
classes=1
coords=4
num=5
softmax=1
jitter=.3
rescore=1
object_scale=5
noobject_scale=1
class_scale=1
coord_scale=1
absolute=1
thresh = .6
random=1
当我在基于yolo的darkflow-master tensorflow实现上运行时，我得到以下输出。 设置选项
时发生错误option = {
'model': 'custom-2/yolo-obj.cfg',
'load': 'custom-2/yolo-obj_2200.weights',
'threshold': 0.30,
#'gpu': 1.0
}
tfnet = TFNet(option) <----- at this line (line 23 of run_img.py)
输出：
>>> %Run run_img.py
/usr/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: compiletime version 3.4 of module 'tensorflow.python.framework.fast_tensor_util' does not match runtime version 3.5
return f(*args, **kwds)
/usr/lib/python3.5/importlib/_bootstrap.py:222: RuntimeWarning: builtins.type size changed, may indicate binary incompatibility. Expected 432, got 412
return f(*args, **kwds)
Using TensorFlow backend.
/home/pi/Desktop/darkflow-master/darkflow/dark/darknet.py:54: UserWarning: ./cfg/yolo-obj_2200.cfg not found, use custom-2/yolo-obj.cfg instead
cfg_path, FLAGS.model))
Parsing custom-2/yolo-obj.cfg
Loading custom-2/yolo-obj_2200.weights ...
Successfully identified 202314760 bytes
Finished in 0.17995047569274902s
Building net ...
Source | Train? | Layer description | Output size
-------+--------+----------------------------------+---------------
| | input | (?, 416, 416, 3)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 416, 416, 32)
Load | Yep! | maxp 2x2p0_2 | (?, 208, 208, 32)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 208, 208, 64)
Load | Yep! | maxp 2x2p0_2 | (?, 104, 104, 64)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 104, 104, 128)
Load | Yep! | conv 1x1p0_1 +bnorm leaky | (?, 104, 104, 64)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 104, 104, 128)
Load | Yep! | maxp 2x2p0_2 | (?, 52, 52, 128)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 52, 52, 256)
Load | Yep! | conv 1x1p0_1 +bnorm leaky | (?, 52, 52, 128)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 52, 52, 256)
Load | Yep! | maxp 2x2p0_2 | (?, 26, 26, 256)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 26, 26, 512)
Load | Yep! | conv 1x1p0_1 +bnorm leaky | (?, 26, 26, 256)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 26, 26, 512)
Load | Yep! | conv 1x1p0_1 +bnorm leaky | (?, 26, 26, 256)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 26, 26, 512)
Load | Yep! | maxp 2x2p0_2 | (?, 13, 13, 512)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Load | Yep! | conv 1x1p0_1 +bnorm leaky | (?, 13, 13, 512)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Load | Yep! | conv 1x1p0_1 +bnorm leaky | (?, 13, 13, 512)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Load | Yep! | concat [16] | (?, 26, 26, 512)
Load | Yep! | conv 1x1p0_1 +bnorm leaky | (?, 26, 26, 64)
Load | Yep! | local flatten 2x2 | (?, 13, 13, 256)
Load | Yep! | concat [27, 24] | (?, 13, 13, 1280)
Load | Yep! | conv 3x3p1_1 +bnorm leaky | (?, 13, 13, 1024)
Load | Yep! | conv 1x1p0_1 linear | (?, 13, 13, 30)
-------+--------+----------------------------------+---------------
Running entirely on CPU
Backend terminated (returncode: -11)
Fatal Python error: Segmentation fault
Thread 0x620ff470 (most recent call first):
File "/usr/lib/python3.5/threading.py", line 293 in wait
File "/usr/lib/python3.5/queue.py", line 164 in get
File "/usr/lib/python3.5/multiprocessing/pool.py", line 429 in _handle_results
File "/usr/lib/python3.5/threading.py", line 862 in run
File "/usr/lib/python3.5/threading.py", line 914 in _bootstrap_inner
File "/usr/lib/python3.5/threading.py", line 882 in _bootstrap
Thread 0x62aff470 (most recent call first):
File "/usr/lib/python3.5/threading.py", line 293 in wait
File "/usr/lib/python3.5/queue.py", line 164 in get
File "/usr/lib/python3.5/multiprocessing/pool.py", line 376 in _handle_tasks
File "/usr/lib/python3.5/threading.py", line 862 in run
File "/usr/lib/python3.5/threading.py", line 914 in _bootstrap_inner
File "/usr/lib/python3.5/threading.py", line 882 in _bootstrap
Thread 0x632ff470 (most recent call first):
File "/usr/lib/python3.5/multiprocessing/pool.py", line 367 in _handle_workers
File "/usr/lib/python3.5/threading.py", line 862 in run
File "/usr/lib/python3.5/threading.py", line 914 in _bootstrap_inner
File "/usr/lib/python3.5/threading.py", line 882 in _bootstrap
Thread 0x63cff470 (most recent call first):
File "/usr/lib/python3.5/threading.py", line 293 in wait
File "/usr/lib/python3.5/queue.py", line 164 in get
File "/usr/lib/python3.5/multiprocessing/pool.py", line 108 in worker
File "/usr/lib/python3.5/threading.py", line 862 in run
File "/usr/lib/python3.5/threading.py", line 914 in _bootstrap_inner
File "/usr/lib/python3.5/threading.py", line 882 in _bootstrap
Thread 0x644ff470 (most recent call first):
File "/usr/lib/python3.5/threading.py", line 293 in wait
File "/usr/lib/python3.5/queue.py", line 164 in get
File "/usr/lib/python3.5/multiprocessing/pool.py", line 108 in worker
File "/usr/lib/python3.5/threading.py", line 862 in run
File "/usr/lib/python3.5/threading.py", line 914 in _bootstrap_inner
File "/usr/lib/python3.5/threading.py", line 882 in _bootstrap
Thread 0x64eff470 (most recent call first):
File "/usr/lib/python3.5/threading.py", line 293 in wait
File "/usr/lib/python3.5/queue.py", line 164 in get
File "/usr/lib/python3.5/multiprocessing/pool.py", line 108 in worker
File "/usr/lib/python3.5/threading.py", line 862 in run
File "/usr/lib/python3.5/threading.py", line 914 in _bootstrap_inner
File "/usr/lib/python3.5/threading.py", line 882 in _bootstrap
Thread 0x658dc470 (most recent call first):
File "/usr/lib/python3.5/threading.py", line 293 in wait
File "/usr/lib/python3.5/queue.py", line 164 in get
File "/usr/lib/python3.5/multiprocessing/pool.py", line 108 in worker
File "/usr/lib/python3.5/threading.py", line 862 in run
File "/usr/lib/python3.5/threading.py", line 914 in _bootstrap_inner
File "/usr/lib/python3.5/threading.py", line 882 in _bootstrap
Current thread 0x76f6a010 (most recent call first):
File "/home/pi/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1367 in _call_tf_sessionrun
File "/home/pi/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1277 in _run_fn
File "/home/pi/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1292 in _do_call
File "/home/pi/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1286 in _do_run
File "/home/pi/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 1110 in _run
File "/home/pi/.local/lib/python3.5/site-packages/tensorflow/python/client/session.py", line 887 in run
File "/home/pi/Desktop/darkflow-master/darkflow/net/build.py", line 146 in setup_meta_ops
File "/home/pi/Desktop/darkflow-master/darkflow/net/build.py", line 76 in __init__
File "/home/pi/Desktop/darkflow-master/run_img.py", line 23 in <module>
File "/usr/lib/python3/dist-packages/thonny/shared/thonny/backend.py", line 588 in execute_source
File "/usr/lib/python3/dist-packages/thonny/shared/thonny/backend.py", line 427 in _execute_source_ex
File "/usr/lib/python3/dist-packages/thonny/shared/thonny/backend.py", line 374 in _execute_file
File "/usr/lib/python3/dist-packages/thonny/shared/thonny/backend.py", line 155 in _cmd_Run
File "/usr/lib/python3/dist-packages/thonny/shared/thonny/backend.py", line 119 in handle_command
File "/usr/lib/python3/dist-packages/thonny/shared/thonny/backend.py", line 97 in mainloop
File "/usr/lib/python3/dist-packages/thonny/shared/backend_launcher.py", line 41 in <module>
Resetting ...
>>>