Hi I am working on a project to do segmentation for persons. Now I followed the code from https://pixellib.readthedocs.io/en/latest/Image_pascal.html#image-pascal and it is giving me an error: ValueError: Resize method is not implemented. in line 4.
import pixellib
from pixellib.semantic import semantic_segmentation
segment_video = semantic_segmentation()
segment_video.load_pascalvoc_model("deeplabv3_xception_tf_dim_ordering_tf_kernels.h5")
segment_video.process_video_pascalvoc("IMG_2649.mp4", overlay = True, frames_per_second= 15,
output_video_name="output.mp4")
Anyone know why this error is being triggered?
Error:
Traceback (most recent call last):
File "H:/Yolo/person_seg.py", line 4, in <module>
segment_video = semantic_segmentation()
File "G:\anaconda3\envs\yolo5\lib\site-packages\pixellib\semantic.py", line 23, in __init__
self.model = Deeplab_xcep_pascal()
File "G:\anaconda3\envs\yolo5\lib\site-packages\pixellib\deeplab.py", line 214, in Deeplab_xcep_pascal
method='bilinear', align_corners=True))(b4)
File "G:\anaconda3\envs\yolo5\lib\site-packages\tensorflow\python\keras\engine\base_layer.py", line 554, in __call__
outputs = self.call(inputs, *args, **kwargs)
File "G:\anaconda3\envs\yolo5\lib\site-packages\tensorflow\python\keras\layers\core.py", line 743, in call
return self.function(inputs, **arguments)
File "G:\anaconda3\envs\yolo5\lib\site-packages\pixellib\deeplab.py", line 214, in <lambda>
method='bilinear', align_corners=True))(b4)
File "G:\anaconda3\envs\yolo5\lib\site-packages\tensorflow\python\ops\image_ops_impl.py", line 960, in resize_images
name=None)
File "G:\anaconda3\envs\yolo5\lib\site-packages\tensorflow\python\ops\image_ops_impl.py", line 1088, in resize_images_v2
raise ValueError('Resize method is not implemented.')
ValueError: Resize method is not implemented.
Make sure to follow the initial steps prior installing the PixelLib library, since it requires the latest version of Tensorflow (Tensorflow 2.0+) as well as imgaug.
Related
I am running the code from this repository Link with dgl==0.1.3 and I am facing this error. I am not sure why its coming. I have attached the code snippet and the error below.
code snippet
def _prepare_subgraphs(self, nodes, r_label, n_labels):
subgraph = dgl.DGLGraph(self.graph.subgraph(nodes))
Error
Traceback (most recent call last):
File "train.py", line 222, in <module>
main(params)
File "train.py", line 32, in main
kge_model=params.kge_model, file_name=params.train_file)
File "/home2/harsha.vasamsetti/SumGNN-master_olddgl/subgraph_extraction/datasets.py", line 142, in __init__
self.__getitem__(0)
File "/home2/harsha.vasamsetti/SumGNN-master_olddgl/subgraph_extraction/datasets.py", line 150, in __getitem__
subgraph_pos = self._prepare_subgraphs(nodes_pos, r_label_pos, n_labels_pos)
File "/home2/harsha.vasamsetti/SumGNN-master_olddgl/subgraph_extraction/datasets.py", line 159, in _prepare_subgraphs
subgraph = dgl.DGLGraph(self.graph.subgraph(nodes))
File "/home2/harsha.vasamsetti/.miniconda3/envs/sumgnn=0.1.3/lib/python3.7/site-packages/dgl/graph.py", line 181, in __init__
self._graph = create_graph_index(graph_data, multigraph, readonly)
File "/home2/harsha.vasamsetti/.miniconda3/envs/sumgnn=0.1.3/lib/python3.7/site-packages/dgl/graph_index.py", line 925, in create_graph_index
% type(graph_data))
dgl._ffi.base.DGLError: Error while creating graph from input of type "<class 'dgl.subgraph.DGLSubGraph'>".
I've been doing the pytorch tutorial (https://pytorch.org/tutorials/intermediate/torchvision_tutorial.html) and have been getting this error that I don't know how to fix. The full error is below:
Traceback (most recent call last):
File "main.py", line 146, in <module>
main()
File "main.py", line 138, in main
train_one_epoch(model, optimizer, data_loader, device, epoch, print_freq=10)
File "/engine.py", line 26, in train_one_epoch
for images, targets in metric_logger.log_every(data_loader, print_freq, header):
File "/utils.py", line 180, in log_every
for obj in iterable:
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 521, in __next__
data = self._next_data()
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 1203, in _next_data
return self._process_data(data)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataloader.py", line 1229, in _process_data
data.reraise()
File "/usr/local/lib/python3.6/dist-packages/torch/_utils.py", line 425, in reraise
raise self.exc_type(msg)
TypeError: Caught TypeError in DataLoader worker process 0.
Original Traceback (most recent call last):
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/worker.py", line 287, in _worker_loop
data = fetcher.fetch(index)
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in fetch
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/_utils/fetch.py", line 44, in <listcomp>
data = [self.dataset[idx] for idx in possibly_batched_index]
File "/usr/local/lib/python3.6/dist-packages/torch/utils/data/dataset.py", line 311, in __getitem__
return self.dataset[self.indices[idx]]
File "main.py", line 64, in __getitem__
img, target = self.transforms(img, target)
File "/transforms.py", line 26, in __call__
image, target = t(image, target)
File "/usr/local/lib/python3.6/dist-packages/torch/nn/modules/module.py", line 1051, in _call_impl
return forward_call(*input, **kwargs)
File "/transforms.py", line 50, in forward
image = F.to_tensor(image)
File "/usr/local/lib/python3.6/dist-packages/torchvision/transforms/functional.py", line 129, in to_tensor
np.array(pic, mode_to_nptype.get(pic.mode, np.uint8), copy=True)
TypeError: __array__() takes 1 positional argument but 2 were given
I believe it means somewhere I'm using an array with 2 arguments which isn't allowed, but I don't really know where abouts that is happening - perhaps in one of their pre written libraries?
I can share the code in full if desired, but thought its a bit unwieldy. Does anyone know what might be causing this error?
PyTorch has already considered this issue. It does not seem to be a PyTorch problem.
As xwang233 mentioned in the issue, we can fix it by downgrading pillow:
pip install pillow==8.2.0
This issue could be fixed as well by upgrading Pillow from version 8.3.0 to 8.3.1. I had the same issue with
torch==1.9.0+cu111
torchvision==0.10.0+cu111
Pillow==8.3.0
After Pillow was upgraded to 8.3.1 (with no change to torch and torchvision) as below, the issue is gone:
pip install --upgrade pillow
Thanks to DRTorresRuiz for providing the clue about Pillow.
I had the same error when using:
torch==1.9.0
torchvision==0.10.0
In my requirements.txt file I downgraded the torch library, which forced me to downgrade torchvision, and that fixed the error for me. The library versions I ended up using that did not raise the error were:
torch==1.8.1
torchvision==0.9.1
change your code:
np.array(pic ,np.float32)
to:
np.array(pic).astype('float32')
Im trying to implement the train.py file from this repo but the error I'm getting is:
Traceback (most recent call last):
File "./src/train.py", line 74, in <module>
main()
File "./src/train.py", line 21, in main
model = MyModel0(len(VOCAB), 20, args.hidden_size).to(args.device)
File "/home/guest/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 426, in to
return self._apply(convert)
File "/home/guest/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 202, in _apply
module._apply(fn)
File "/home/guest/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 224, in _apply
param_applied = fn(param)
File "/home/guest/anaconda3/lib/python3.7/site-packages/torch/nn/modules/module.py", line 424, in convert
return t.to(device, dtype if t.is_floating_point() else None, non_blocking)
File "/home/guest/anaconda3/lib/python3.7/site-packages/torch/cuda/__init__.py", line 192, in _lazy_init
_check_driver()
File "/home/guest/anaconda3/lib/python3.7/site-packages/torch/cuda/__init__.py", line 95, in _check_driver
raise AssertionError("Torch not compiled with CUDA enabled")
AssertionError: Torch not compiled with CUDA enabled
Even though the # torch.backends.cudnn.enabled = False, I'm still getting this error. Maybe there's more GPU dependencies which I'm not familiar with. I'm not so familiar with PyTorch, any suggestions, please?
i try to use validate_on_lfw.py to evaluate LFW with model '20170512-110547'
i use anaconda and tensorflow(i am a beginner of cv ,so i am not sure if the problem description i gave is detailed)
tensorflow/core/graph/graph_constructor.cc:1244] Importing a graph
with a lower producer version 21 into an existing graph with producer
version 26. Shape inference will have run different parts of the graph
with different producer versions.
Traceback (most recent call last):
File "/home/wind/anaconda3/envs/tensorflow-cpu/lib/python3.6/site-
packages/tensorflow/python/framework/importer.py", line 489, in
import_graph_def graph._c_graph, serialized, options) # pylint:
disable=protected-access
tensorflow.python.framework.errors_impl.InvalidArgumentError: Input 0
of node cross_entropy_per_example/Shape was passed int32 from
batch_join:1 incompatible with expected int64.
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "src/validate_on_lfw.py", line 164, in <module>
main(parse_arguments(sys.argv[1:]))
File "src/validate_on_lfw.py", line 73, in main
facenet.load_model(args.model, input_map=input_map)
File "/home/wind/facenet/src/facenet.py", line 381, in load_model
saver = tf.train.import_meta_graph(os.path.join(model_exp, meta_file), input_map=input_map)
File "/home/wind/anaconda3/envs/tensorflow-cpu/lib/python3.6/site-packages/tensorflow/python/training/saver.py", line 1955, in import_meta_graph
**kwargs)
File "/home/wind/anaconda3/envs/tensorflow-cpu/lib/python3.6/site-packages/tensorflow/python/framework/meta_graph.py", line 743, in import_scoped_meta_graph
producer_op_list=producer_op_list)
File "/home/wind/anaconda3/envs/tensorflow-cpu/lib/python3.6/site-packages/tensorflow/python/util/deprecation.py", line 432, in new_func
return func(*args, **kwargs)
File "/home/wind/anaconda3/envs/tensorflow-cpu/lib/python3.6/site-packages/tensorflow/python/framework/importer.py", line 493, in import_graph_def
raise ValueError(str(e))
ValueError: Input 0 of node cross_entropy_per_example/Shape was passed
int32 from batch_join:1 incompatible with expected int64.
Change the dtypes for data_flow_ops.FIFOQueue to tf.int64 from tf.int32. And also change the dtypes for labels_placeholder and control_placeholder to tf.int64 from tf.int32. That did it for me.
I write python layer for caffe that can read hdf5 with some manipulation needs for me. But I have some issue when open and read hdf5 file in python setup method. Here it is.
When I used tables with the
code in setup:
def setup(self, bottom, top):
h5file = tables.open_file("/home/titan/models/hdf5/train_small.h5", driver="H5FD_CORE")
I have this error when run net:
Traceback (most recent call last):
File "/home/titan/scripts/python_layers/pydata_hdf5.py", line 37, in setup
h5file = tables.open_file("/home/titan/models/hdf5/train_small.h5", driver="H5FD_CORE")
File "/home/titan/anaconda/lib/python2.7/site-packages/tables/file.py", line 318, in open_file
return File(filename, mode, title, root_uep, filters, **kwargs)
File "/home/titan/anaconda/lib/python2.7/site-packages/tables/file.py", line 784, in __init__
self._g_new(filename, mode, **params)
File "tables/hdf5extension.pyx", line 465, in tables.hdf5extension.File._g_new (tables/hdf5extension.c:4872)
tables.exceptions.HDF5ExtError: HDF5 error back trace
File "../../../src/H5FDcore.c", line 273, in H5Pset_fapl_core
not a file access property list
File "../../../src/H5Pint.c", line 3371, in H5P_object_verify
property list is not a member of the class
File "../../../src/H5Pint.c", line 3321, in H5P_isa_class
not a property list
End of HDF5 error back trace
When I used h5py
def setup(self, bottom, top):
self.data = h5py.File('/home/titan/models/hdf5_nose_mouth/train_small.h5', 'r')
I have the same error:
Traceback (most recent call last):
File "/home/titan/scripts/python_layers/pydata_hdf5.py", line 11, in <module>
import h5py
File "/home/titan/anaconda/lib/python2.7/site-packages/h5py/__init__.py", line 31, in <module>
from .highlevel import *
File "/home/titan/anaconda/lib/python2.7/site-packages/h5py/highlevel.py", line 13, in <module>
from ._hl.base import is_hdf5, HLObject
File "/home/titan/anaconda/lib/python2.7/site-packages/h5py/_hl/base.py", line 78, in <module>
dlapl = default_lapl()
File "/home/titan/anaconda/lib/python2.7/site-packages/h5py/_hl/base.py", line 65, in default_lapl
lapl = h5p.create(h5p.LINK_ACCESS)
File "h5py/_objects.pyx", line 54, in h5py._objects.with_phil.wrapper (-------src-dir-------/h5py/_objects.c:2458)
File "h5py/_objects.pyx", line 55, in h5py._objects.with_phil.wrapper (-------src-dir-------/h5py/_objects.c:2415)
File "h5py/h5p.pyx", line 130, in h5py.h5p.create (-------src-dir-------/h5py/h5p.c:2491)
ValueError: Not a property list class (Not a property list class)
When I used deepdish:
def setup(self, bottom, top):
self.data = dd.io.load('/home/titan/models/hdf5/train_smallest.h5')
I have error too:
Traceback (most recent call last):
File "/home/titan/scripts/python_layers/pydata_hdf5.py", line 36, in setup
self.data = dd.io.load('/home/titan/models/hdf5/train_smallest.h5')
File "/home/titan/anaconda/lib/python2.7/site-packages/deepdish/io/hdf5io.py", line 476, in load
with tables.open_file(path, mode='r') as h5file:
File "/home/titan/anaconda/lib/python2.7/site-packages/tables/file.py", line 318, in open_file
return File(filename, mode, title, root_uep, filters, **kwargs)
File "/home/titan/anaconda/lib/python2.7/site-packages/tables/file.py", line 784, in __init__
self._g_new(filename, mode, **params)
File "tables/hdf5extension.pyx", line 488, in tables.hdf5extension.File._g_new (tables/hdf5extension.c:5081)
tables.exceptions.HDF5ExtError: HDF5 error back trace
File "../../../src/H5F.c", line 1582, in H5Fopen
not file access property list
File "../../../src/H5Pint.c", line 3321, in H5P_isa_class
not a property list
End of HDF5 error back trace
But when I read simply *.txt file, all is ok. Also I can read this file from console and use it in hdf5 layer in caffe. Please help me, how I can read hdf5 file from python layer?
Try to install another version of h5py. I just solved it with:
pip install h5py==prev_version
I guess it has something to do with the linking but it would be interesting to know which is the exact cause for this problem.