raspberry pi yolo custom









up vote
0
down vote

favorite












I am running a custom yolo model based on this .cfg
Running this on a raspberry pi
I do not know if the problem is due to low memory or not. I do not think so



[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


When I run on darkflow-master tensorflow based implementation of yolo I am getting the following output.
The error is occuring while setting the options 



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)


The output:



>>> %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 ...
>>>





tensorflow raspberry-pi yolo darkflow







share|improve this question

























    up vote
    0
    down vote

    favorite












    I am running a custom yolo model based on this .cfg
    Running this on a raspberry pi
    I do not know if the problem is due to low memory or not. I do not think so



    [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


    When I run on darkflow-master tensorflow based implementation of yolo I am getting the following output.
    The error is occuring while setting the options 



    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)


    The output:



    >>> %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 ...
    >>>





    tensorflow raspberry-pi yolo darkflow







    share|improve this question























      up vote
      0
      down vote

      favorite









      up vote
      0
      down vote

      favorite











      I am running a custom yolo model based on this .cfg
      Running this on a raspberry pi
      I do not know if the problem is due to low memory or not. I do not think so



      [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


      When I run on darkflow-master tensorflow based implementation of yolo I am getting the following output.
      The error is occuring while setting the options 



      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)


      The output:



      >>> %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 ...
      >>>





      tensorflow raspberry-pi yolo darkflow







      share|improve this question













      I am running a custom yolo model based on this .cfg
      Running this on a raspberry pi
      I do not know if the problem is due to low memory or not. I do not think so



      [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


      When I run on darkflow-master tensorflow based implementation of yolo I am getting the following output.
      The error is occuring while setting the options 



      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)


      The output:



      >>> %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 ...
      >>>





      tensorflow raspberry-pi yolo darkflow




      tensorflow raspberry-pi yolo darkflow






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked Nov 11 at 12:52









      Knl_Kolhe

      113




      113



























          active

          oldest

          votes











          Your Answer






          StackExchange.ifUsing("editor", function ()
          StackExchange.using("externalEditor", function ()
          StackExchange.using("snippets", function ()
          StackExchange.snippets.init();
          );
          );
          , "code-snippets");

          StackExchange.ready(function()
          var channelOptions =
          tags: "".split(" "),
          id: "1"
          ;
          initTagRenderer("".split(" "), "".split(" "), channelOptions);

          StackExchange.using("externalEditor", function()
          // Have to fire editor after snippets, if snippets enabled
          if (StackExchange.settings.snippets.snippetsEnabled)
          StackExchange.using("snippets", function()
          createEditor();
          );

          else
          createEditor();

          );

          function createEditor()
          StackExchange.prepareEditor(
          heartbeatType: 'answer',
          convertImagesToLinks: true,
          noModals: true,
          showLowRepImageUploadWarning: true,
          reputationToPostImages: 10,
          bindNavPrevention: true,
          postfix: "",
          imageUploader:
          brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
          contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
          allowUrls: true
          ,
          onDemand: true,
          discardSelector: ".discard-answer"
          ,immediatelyShowMarkdownHelp:true
          );



          );













          draft saved

          draft discarded


















          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53248935%2fraspberry-pi-yolo-custom%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown






























          active

          oldest

          votes













          active

          oldest

          votes









          active

          oldest

          votes






          active

          oldest

          votes















          draft saved

          draft discarded
















































          Thanks for contributing an answer to Stack Overflow!


          • Please be sure to answer the question. Provide details and share your research!

          But avoid …


          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.

          To learn more, see our tips on writing great answers.





          Some of your past answers have not been well-received, and you're in danger of being blocked from answering.


          Please pay close attention to the following guidance:


          • Please be sure to answer the question. Provide details and share your research!

          But avoid …


          • Asking for help, clarification, or responding to other answers.

          • Making statements based on opinion; back them up with references or personal experience.

          To learn more, see our tips on writing great answers.




          draft saved


          draft discarded














          StackExchange.ready(
          function ()
          StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53248935%2fraspberry-pi-yolo-custom%23new-answer', 'question_page');

          );

          Post as a guest















          Required, but never shown





















































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown

































          Required, but never shown














          Required, but never shown












          Required, but never shown







          Required, but never shown







          -

          這個網誌中的熱門文章

          How to read a connectionString WITH PROVIDER in .NET Core?

          圖片
          6 I added .AddJsonFile("Connections.json", optional: true, reloadOnChange: true) in public Startup(IHostingEnvironment env) Connections.json contains: "ConnectionStrings": "DefaultConnection": "Server=(localdb)\mssqllocaldb;Database=DATABASE;Trusted_Connection=True;MultipleActiveResultSets=true", "COR-W81-101": "Data Source=DATASOURCE;Initial Catalog=P61_CAFM_Basic;User Id=USERID;Password=PASSWORD;Persist Security Info=False;MultipleActiveResultSets=False;Packet Size=4096;", "COR-W81-100": "Data Source=DATASOURCE;Initial Catalog=Post_PS;User Id=USERID;Password=PASSWORD;Persist Security Info=False;MultipleActiveResultSets=False;Packet Size=4096;", "MSEDGEWIN10": "Data Source=DATASOURCE; Initial Catalog=COR_Basic; Persist Security Info=False;Integrated Security=true;MultipleActiveResultSets=False;Packet Size=4096;Application Name="COR_Basic"", "server...
          閱讀完整內容

          Node.js Script on GitHub Pages or Amazon S3

          圖片
          0 I'm wondering if I can run a Node.js script in my Jekyll page from GitHub Pages or Amazon S3? I think it can't run on GitHub Pages since it doesn't support server side code. Not too sure. The code is below: var Airtable = require('airtable'); var base = new Airtable(apiKey: 'YOUR_API_KEY').base('appAnZVyYqusNPV5Q'); base('Invitee list').select( // Selecting the first 3 records in Complete list: maxRecords: 3, view: "Complete list" ).eachPage(function page(records, fetchNextPage) // This function (`page`) will get called for each page of records. records.forEach(function(record) console.log('Retrieved', record.get('Email')); ); // To fetch the next page of records, call `fetchNextPage`. // If there are more records, `page` will get called again. // If there are no more records, `done` will get called. fetchNextPage(); , function done(err) if (err) console.error(err); return; ); node.js ...
          閱讀完整內容

          Museum of Modern and Contemporary Art of Trento and Rovereto

          圖片
          Art museum in Rovereto TN, Italy Museum of Modern and Contemporary Art of Trento and Rovereto Museo d'arte moderna e contemporanea di Trento e Rovereto MART, Entrance Location Corso Angelo Bettini, 43, 38068 Rovereto TN, Italy Coordinates 45°53′38″N 11°02′42″E  /  45.8940°N 11.0450°E  / 45.8940; 11.0450 Coordinates: 45°53′38″N 11°02′42″E  /  45.8940°N 11.0450°E  / 45.8940; 11.0450 Type Art museum Director Gianfranco Maraniello Public transit access Trento train station. Taxis outside station. Website mart.trento.it The Museum of Modern and Contemporary Art of Trento and Rovereto (MART) ( Museo d'Arte Moderna e Contemporanea di Trento e Rovereto , in Italian) is a museum centre in the Italian province of Trento. The main site is in Rovereto, and contains mostly modern and contemporary artworks, including works from renowned Giorgio Morandi, Giorgio de...
          閱讀完整內容