runing error - Githubissues

mhmd-shadfar commented 6 years ago

hi ... when i run the code i got this following error :

currentUrl currentUrl /home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec parentUrl /home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master video_files: ['data/train/lab/4p-c0.avi', 'data/train/lab/4p-c1.avi', 'data/train/lab/4p-c2.avi', 'data/train/lab/4p-c3.avi'] detection_files: ['data/train/lab/4p-c0.pickle', 'data/train/lab/4p-c1.pickle', 'data/train/lab/4p-c2.pickle', 'data/train/lab/4p-c3.pickle'] Traceback (most recent call last): File "master.py", line 284, in demo(save=True) File "master.py", line 188, in demo caps, detections, video_length = get_caps_and_pickles(video_files, detection_files) File "master.py", line 26, in get_caps_and_pickles detections.append(np.load(detection_file)) File "/home/mohi/.local/lib/python3.6/site-packages/numpy/lib/npyio.py", line 384, in load fid = open(file, "rb") FileNotFoundError: [Errno 2] No such file or directory: 'data/train/lab/4p-c0.pickle'

help to solve this issue thanks.

Robootx commented 6 years ago

please see the updated readme

mhmd-shadfar commented 6 years ago

hi again and thanks for response i do that but i got this following error :+1: mohi@mohi:~/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master$ sudo python3 master.py [sudo] password for mohi: currentUrl currentUrl /home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec parentUrl /home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master video_files: ['data/train/lab/4p-c0.avi', 'data/train/lab/4p-c1.avi', 'data/train/lab/4p-c2.avi', 'data/train/lab/4p-c3.avi'] detection_files: ['data/train/lab/4p-c0.pickle', 'data/train/lab/4p-c1.pickle', 'data/train/lab/4p-c2.pickle', 'data/train/lab/4p-c3.pickle'] Get feature map: block_layer3 with is_training= True reuse: False image_size: (?, 3, 224, 224) conv_1: (?, 64, 224, 224) identity_1: (?, 64, 224, 224) identity_2: (?, 64, 224, 224) block_layer_1: (?, 64, 112, 112) block_layer_2: (?, 128, 56, 56) block_layer_3: (?, 256, 56, 56) feature map shape: (?, 56, 56, 256) feature_with_position: (?, 12549) Initialize Done... resnet_size: 18 feature_map_layer: block_layer3 alpha: 0.5 Load weights from box2vec/model/model-86000 for box_to_vect!

frame_id: 100

frame_id: 101

frame_id: 102

frame_id: 103

frame_id: 104

frame_id: 105

frame_id: 106

frame_id: 107

frame_id: 108

frame_id: 109 Traceback (most recent call last): File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1322, in _do_call return fn(*args) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1307, in _run_fn options, feed_dict, fetch_list, target_list, run_metadata) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1409, in _call_tf_sessionrun run_metadata) tensorflow.python.framework.errors_impl.UnimplementedError: Generic conv implementation only supports NHWC tensor format for now. [[Node: resnet/conv2d/Conv2D = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](transpose, resnet/conv2d/kernel/read)]]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "master.py", line 284, in demo(save=True) File "master.py", line 213, in demo embedding = get_embedding(boxes, frames, box_to_vect, sess) File "master.py", line 83, in get_embedding embedding = box_to_vect.inference(image_batch, bbox_batch, box_ind_batch, sess) File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 167, in inference embeddings = sess.run(self.embeddings, feed_dict=feed_dict) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 900, in run run_metadata_ptr) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1135, in _run feed_dict_tensor, options, run_metadata) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1316, in _do_run run_metadata) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1335, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.UnimplementedError: Generic conv implementation only supports NHWC tensor format for now. [[Node: resnet/conv2d/Conv2D = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](transpose, resnet/conv2d/kernel/read)]]

Caused by op 'resnet/conv2d/Conv2D', defined at: File "master.py", line 284, in demo(save=True) File "master.py", line 198, in demo box_to_vect, sess = init_box_to_vect_net(model_file) File "master.py", line 98, in init_box_to_vect_net mode='test', File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 115, in init self._build_net() File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 123, in _build_net self.embeddings = self.feature_to_embedding() File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 605, in feature_to_embedding feature_map = self.resnet_v2_maps() # [image_batch, h, w, c] File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 600, in resnet_v2_maps params['block'], params['layers'], feature_map_layer=self.feature_map_layer, is_training=is_training, data_format=self.data_format) File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 509, in features_v2_generator data_format=data_format) File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 337, in conv2d_fixed_padding data_format=data_format) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/layers/convolutional.py", line 621, in conv2d return layer.apply(inputs) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 828, in apply return self.call(inputs, *args, *kwargs) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 717, in call outputs = self.call(inputs, args, **kwargs) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/layers/convolutional.py", line 168, in call outputs = self._convolution_op(inputs, self.kernel) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 868, in call return self.conv_op(inp, filter) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 520, in call return self.call(inp, filter) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/ops/nn_ops.py", line 204, in call name=self.name) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/ops/gen_nn_ops.py", line 956, in conv2d data_format=data_format, dilations=dilations, name=name) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 787, in _apply_op_helper op_def=op_def) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 3392, in create_op op_def=op_def) File "/home/mohi/.local/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1718, in init self._traceback = self._graph._extract_stack() # pylint: disable=protected-access

UnimplementedError (see above for traceback): Generic conv implementation only supports NHWC tensor format for now. [[Node: resnet/conv2d/Conv2D = Conv2D[T=DT_FLOAT, data_format="NCHW", dilations=[1, 1, 1, 1], padding="SAME", strides=[1, 1, 1, 1], use_cudnn_on_gpu=true, _device="/job:localhost/replica:0/task:0/device:CPU:0"](transpose, resnet/conv2d/kernel/read)]]

i dont know why its happening like this. but i should say that i have tensorflow on my cpu cause i have amd graphic card . how sholud i solve this?

Robootx commented 6 years ago

may be you need a GPU, the code doesn't support cpu

mhmd-shadfar commented 6 years ago

did you use amd or nvidia gpu ? and which model?

On Mon, Sep 17, 2018 at 2:40 AM Mhttx notifications@github.com wrote:

may be you need a GPU, the code don't support cpu

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Robootx commented 6 years ago

nvidia gtx1070, tensorflow-gpu

mhmd-shadfar commented 6 years ago

ok, thanks and good luck.

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nvidia gtx1070, tensorflow-gpu

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mhmd-shadfar commented 6 years ago

hi again and Sorry i got bothered again i find that if i convert image shape from NCHW to NHWC to can run this code successfully but i dont know how to do it can you help me? i also read this link and could not understand how to change your code to run it for me. https://stackoverflow.com/questions/37689423/convert-between-nhwc-and-nchw-in-tensorflow thanks.

On Mon, Sep 17, 2018 at 3:09 AM Mohamad Shadfar mohamad.shadfar54@gmail.com wrote:

ok, thanks and good luck.

On Mon, Sep 17, 2018 at 2:51 AM Mhttx notifications@github.com wrote:

nvidia gtx1070, tensorflow-gpu

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Robootx commented 6 years ago

you can try input image in NHWC format and set data_format = 'channels_last' here line 97 in master.py

mhmd-shadfar commented 6 years ago

hi i change the the code as you said data_format = 'channels_last' in master.py but i got this following error how can i solve it?

mohi@mohi:~/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master$ python3 master.py currentUrl currentUrl /home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec parentUrl /home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master video_files: ['data/train/lab/4p-c0.avi', 'data/train/lab/4p-c1.avi', 'data/train/lab/4p-c2.avi', 'data/train/lab/4p-c3.avi'] detection_files: ['data/train/lab/4p-c0.pickle', 'data/train/lab/4p-c1.pickle', 'data/train/lab/4p-c2.pickle', 'data/train/lab/4p-c3.pickle'] Get feature map: block_layer3 with is_training= True reuse: False Traceback (most recent call last): File "master.py", line 284, in demo(save=True) File "master.py", line 198, in demo box_to_vect, sess = init_box_to_vect_net(model_file) File "master.py", line 98, in init_box_to_vect_net mode='test', File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 115, in init self._build_net() File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 123, in _build_net self.embeddings = self.feature_to_embedding() File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 605, in feature_to_embedding feature_map = self.resnet_v2_maps() # [image_batch, h, w, c] File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 600, in resnet_v2_maps params['block'], params['layers'], feature_map_layer=self.feature_map_layer, is_training=is_training, data_format=self.data_format) File "/home/mohi/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master/box2vec/resnet.py", line 506, in features_v2_generator print('image_size:', inputs.shape) UnboundLocalError: local variable 'inputs' referenced before assignment

Robootx commented 6 years ago

sorry for the bug, i updated the line 498~504 in resnet.py

mhmd-shadfar commented 6 years ago

hi it work .thanks how can i save a matrix that name is for example (0_id) and track the person (0_id) who go through cameras respectively and result save in matrix like following : 0_id = [0,1,3,2] and each element in that array is the way that person with 0_id pass through the cameras which are in different places . i mean the person with 0_id first detect in camera 0 then detect and recognize in camera 1 then detect and recognize in camera 3 then detect and recognize in camera2 . ?

On Mon, Sep 17, 2018 at 10:12 PM Mhttx notifications@github.com wrote:

sorry for the bug, i updated the line 498~504 in resnet.py https://github.com/Mhttx2016/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View/blob/14d4303779fb331db22f911301b54b9c06c5a751/box2vec/resnet.py#L498

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mhmd-shadfar commented 6 years ago

and how can i increace the number of cameras?

On Tue, Sep 18, 2018 at 5:54 AM Mohamad Shadfar mohamad.shadfar54@gmail.com wrote:

hi it work .thanks how can i save a matrix that name is for example (0_id) and track the person (0_id) who go through cameras respectively and result save in matrix like following : 0_id = [0,1,3,2] and each element in that array is the way that person with 0_id pass through the cameras which are in different places . i mean the person with 0_id first detect in camera 0 then detect and recognize in camera 1 then detect and recognize in camera 3 then detect and recognize in camera2 . ?

On Mon, Sep 17, 2018 at 10:12 PM Mhttx notifications@github.com wrote:

sorry for the bug, i updated the line 498~504 in resnet.py https://github.com/Mhttx2016/Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View/blob/14d4303779fb331db22f911301b54b9c06c5a751/box2vec/resnet.py#L498

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mhmd-shadfar commented 6 years ago

Hi how can I increase the number of camera?and how much?

On 11:21AM, Mon, Sep 17, 2018 Mhttx notifications@github.com wrote:

nvidia gtx1070, tensorflow-gpu

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ahz97 commented 6 years ago

Hi when i run the code i got this following error :

currentUrl E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master currentUrl E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\box2vec parentUrl E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master video_files: ['E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c0.avi', 'E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c1.avi', 'E:\Human Detections\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c2.avi', 'E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c3.avi'] detection_files: ['E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c0.pickle', 'E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c1.pickle', 'E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c2.pickle', 'E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\data\train\lab\4p-c3.pickle'] Get feature map: block_layer3 with is_training= True reuse: False image_size: (?, 3, 224, 224) conv_1: (?, 64, 224, 224) identity_1: (?, 64, 224, 224) identity_2: (?, 64, 224, 224) block_layer_1: (?, 64, 112, 112) block_layer_2: (?, 128, 56, 56) block_layer_3: (?, 256, 56, 56) feature map shape: (?, 56, 56, 256) Traceback (most recent call last): File "E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\master.py", line 284, in demo(save=True) File "E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\master.py", line 198, in demo box_to_vect, sess = init_box_to_vect_net(model_file) File "E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\master.py", line 98, in init_box_to_vect_net mode='test', File "E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\box2vec\resnet.py", line 115, in init self._build_net() File "E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\box2vec\resnet.py", line 123, in _build_net self.embeddings = self.feature_to_embedding() File "E:\Multi-Camera-Object-Tracking-via-Transferring-Representation-to-Top-View-master\box2vec\resnet.py", line 619, in feature_to_embedding crop_size = Config['roi_pooling_size'] TypeError: 'type' object is not subscriptable

help me to solve this issue. thanks

BhaskarNallani commented 5 years ago

Please set data_format=None simply it will work on GPU or CPU.

leijuzi commented 5 years ago

hi when i try master.py i got this error, anyone can help me?

leijuzi commented 5 years ago

Sukhoimaster commented 5 years ago

hey @leijuzi , i had the same output when run the program . did you manage to resolve this issue ?

kumarshrestha009 commented 5 years ago

Downgrade your numpy to 1.16.3 or 1.16.2 or 1.16.1

kumarshrestha009 commented 5 years ago

Have you got the data (for which permission is required) ?

On Tue, Oct 15, 2019 at 10:36 AM Nakhonsoft notifications@github.com wrote:

how to fix error like this? help me please! WARNING:tensorflow:From C:\Users\Adasoft.conda\envs\tracker\lib\site-packages\tensorflow\python\training\saver.py:1276: checkpoint_exists (from tensorflow.python.training.checkpoint_management) is deprecated and will be removed in a future version. Instructions for updating: Use standard file APIs to check for files with this prefix. Load weights from box2vec\model\model-86000 for box_to_vect! frame_id: 100 frame_id: 101 frame_id: 102 frame_id: 103 frame_id: 104 frame_id: 105 frame_id: 106 frame_id: 107 frame_id: 108

frame_id: 109 Traceback (most recent call last): File "master.py", line 284, in demo(save=True) File "master.py", line 213, in demo embedding = get_embedding(boxes, frames, box_to_vect, sess) File "master.py", line 68, in get_embedding bbox_batch[:, 0] = bbox_batch[:, 0] / frames[0].shape[1] AttributeError: 'NoneType' object has no attribute 'shape'

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