JiahuiYu
commented
4 years ago It seems you are using the wrong code (deepfill v1 vs. deepfill v2?). Please follow our instructions and test code exactly. It should run without errors.
Closed Facial-Micro-ExpressionGC closed 4 years ago
JiahuiYu
commented
4 years ago It seems you are using the wrong code (deepfill v1 vs. deepfill v2?). Please follow our instructions and test code exactly. It should run without errors.
Facial-Micro-ExpressionGC
commented
4 years ago Hi Joaquin, Thanks for your quick response. I am using the Pretained model from the link and the test.py says Release v2.0.0. I cloned the repository from github. Which version is which now?
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From: JiahuiYu notifications@github.com Sent: Friday, February 28, 2020 8:41:25 PM To: JiahuiYu/generative_inpainting generative_inpainting@noreply.github.com Cc: Jireh Jam JIREH.JAM@stu.mmu.ac.uk; Author author@noreply.github.com Subject: Re: [JiahuiYu/generative_inpainting] AttributeError: 'Tensor' object has no attribute 'guided' (#410)
It seems you are using the wrong code (deepfill v1 vs. deepfill v2?). Please follow our instructions and test code exactly. It should run without errors.
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Facial-Micro-ExpressionGC
commented
4 years ago Hi JiahuiYu,
Sorry for bothering you. When running the test script you have here, I get the following error.
Traceback (most recent call last):
File "test.py", line 66, in
File "/home/staff/jireh/Year1-Ph.D/RD2/generative_inpainting-master/inpaint_ops.py", line 48, in gen_conv activation=None, padding=padding, name=name) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args return func(*args, **current_args) File "/home/staff/jireh/Year1-Ph.D/RD2/generative_inpainting-master/inpaint_model.py", line 49, in build_inpaint_net x = gen_conv(x, cnum, 5, 1, name='conv1')
Below is my code: import argparse
import os import cv2 import numpy as np import tensorflow as tf import neuralgym as ng
from inpaint_model import InpaintCAModel
def dir_path(string): if os.path.isdir(string): return string else: raise NotADirectoryError(string)
parser = argparse.ArgumentParser() parser.add_argument('--image', default='', type=str, help='The filename of image to be completed.') parser.add_argument('--mask', default='', type=str, help='The filename of mask, value 255 indicates mask.') parser.add_argument('--output', default='output.png', type=str, help='Where to write output.') parser.add_argument('--checkpoint_dir', default='', type=str, help='The directory of tensorflow checkpoint.')
if name == "main": FLAGS = ng.Config('inpaint.yml')
args, unknown = parser.parse_known_args()
#args = vars(parser.parse_args())
model = InpaintCAModel()
mask_paths = os.listdir(args.mask)
print(len(mask_paths))
img_paths = os.listdir(args.image)
for i in range(len(mask_paths)):
image = cv2.imread(args.image+img_paths[i])
#image = cv2.imread(args["image"])
print("Hi there {}, it's nice to meet you!".format(args.image))
#print(image.shape[1])
#mask = cv2.imread(args["mask"])
mask = cv2.imread(args.mask+img_paths[i])
#mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2RGB)
#mask = mask[:,:,0:3]
print(mask.shape)
# mask = cv2.resize(mask, (0,0), fx=0.5, fy=0.5)
assert image.shape == mask.shape
h, w, _ = image.shape
grid = 8
image = image[:h//grid*grid, :w//grid*grid, :]
mask = mask[:h//grid*grid, :w//grid*grid, :]
print('Shape of image: {}'.format(image.shape))
image = np.expand_dims(image, 0)
mask = np.expand_dims(mask, 0)
input_image = np.concatenate([image, mask], axis=2)
sess_config = tf.ConfigProto()
sess_config.gpu_options.allow_growth = True
with tf.Session(config=sess_config) as sess:
input_image = tf.constant(input_image, dtype=tf.float32)
output = model.build_server_graph(FLAGS, input_image)
output = (output + 1.) * 127.5
output = tf.reverse(output, [-1])
output = tf.saturate_cast(output, tf.uint8)
# load pretrained model
vars_list = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES)
assign_ops = []
for var in vars_list:
vname = var.name
from_name = vname
var_value = tf.contrib.framework.load_variable(args.checkpoint_dir, from_name)
assign_ops.append(tf.assign(var, var_value))
sess.run(assign_ops)
print('Model loaded.')
result = sess.run(output)
#cv2.imwrite('./places2_256/'+str(i)+'.jpg',((imgs[0]+1)*127.5).astype("uint8"))
cv2.imwrite(args.output+str(i)+'.jpg', result[0][:, :, ::-1])Hi JiahuiYu, Sorry for bothering you. When running the test script you have here, I get the following error. Traceback (most recent call last): File "test.py", line 66, in output = model.build_server_graph(FLAGS, input_image) File "/home/staff/jireh/Year1-Ph.D/RD2/generative_inpainting-master/inpaint_model.py", line 293, in build_server_graph xin, masks, reuse=reuse, training=is_training) File "/home/staff/jireh/Year1-Ph.D/RD2/generative_inpainting-master/inpaint_model.py", line 49, in build_inpaint_net x = gen_conv(x, cnum, 5, 1, name='conv1') File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args return func(*args, current_args) File "/home/staff/jireh/Year1-Ph.D/RD2/generative_inpainting-master/inpaint_ops.py", line 48, in gen_conv activation=None, padding=padding, name=name) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/layers/convolutional.py", line 417, in conv2d return layer.apply(inputs) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 817, in apply return self.call(inputs, *args, kwargs) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 374, in call outputs = super(Layer, self).call*(inputs, args, kwargs) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 746, in call self.build(input_shapes) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/keras/layers/convolutional.py", line 165, in build dtype=self.dtype) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/layers/base.py", line 288, in add_weight getter=vs.get_variable) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/keras/engine/base_layer.py", line 609, in add_weight aggregation=aggregation) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/training/checkpointable/base.py", line 639, in _add_variable_with_custom_getter **kwargs_for_getter) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1487, in get_variable aggregation=aggregation) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 1237, in get_variable aggregation=aggregation) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 540, in get_variable aggregation=aggregation) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 492, in _true_getter aggregation=aggregation) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/python/ops/variable_scope.py", line 861, in _get_single_variable name, "".join(traceback.format_list(tb)))) ValueError: Variable inpaint_net/conv1/kernel already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope? Originally defined at:
File "/home/staff/jireh/Year1-Ph.D/RD2/generative_inpainting-master/inpaint_ops.py", line 48, in gen_conv activation=None, padding=padding, name=name) File "/home/staff/jireh/anaconda3/envs/deeplearning/lib/python3.6/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 182, in func_with_args return func(*args, **current_args) File "/home/staff/jireh/Year1-Ph.D/RD2/generative_inpainting-master/inpaint_model.py", line 49, in build_inpaint_net x = gen_conv(x, cnum, 5, 1, name='conv1')
Below is my code: import argparse
import os import cv2 import numpy as np import tensorflow as tf import neuralgym as ng
from inpaint_model import InpaintCAModel
def dir_path(string): if os.path.isdir(string): return string else: raise NotADirectoryError(string)
parser = argparse.ArgumentParser() parser.add_argument('--image', default='', type=str, help='The filename of image to be completed.') parser.add_argument('--mask', default='', type=str, help='The filename of mask, value 255 indicates mask.') parser.add_argument('--output', default='output.png', type=str, help='Where to write output.') parser.add_argument('--checkpoint_dir', default='', type=str, help='The directory of tensorflow checkpoint.')
if name == "main": FLAGS = ng.Config('inpaint.yml')
ng.get_gpus(1)
args, unknown = parser.parse_known_args()
args = vars(parser.parse_args())
model = InpaintCAModel() mask_paths = os.listdir(args.mask) print(len(mask_paths)) img_paths = os.listdir(args.image) for i in range(len(mask_paths)): image = cv2.imread(args.image+img_paths[i])
image = cv2.imread(args["image"])
print("Hi there {}, it's nice to meet you!".format(args.image))
print(image.shape[1])
mask = cv2.imread(args["mask"])
mask = cv2.imread(args.mask+img_paths[i])
#mask = cv2.cvtColor(mask, cv2.COLOR_GRAY2RGB) #mask = mask[:,:,0:3] print(mask.shape) # mask = cv2.resize(mask, (0,0), fx=0.5, fy=0.5) assert image.shape == mask.shape h, w, _ = image.shape grid = 8 image = image[:h//grid*grid, :w//grid*grid, :] mask = mask[:h//grid*grid, :w//grid*grid, :] print('Shape of image: {}'.format(image.shape)) image = np.expand_dims(image, 0) mask = np.expand_dims(mask, 0) input_image = np.concatenate([image, mask], axis=2) sess_config = tf.ConfigProto() sess_config.gpu_options.allow_growth = True with tf.Session(config=sess_config) as sess: input_image = tf.constant(input_image, dtype=tf.float32) output = model.build_server_graph(FLAGS, input_image) output = (output + 1.) * 127.5 output = tf.reverse(output, [-1]) output = tf.saturate_cast(output, tf.uint8) # load pretrained model vars_list = tf.get_collection(tf.GraphKeys.GLOBAL_VARIABLES) assign_ops = [] for var in vars_list: vname = var.name from_name = vname var_value = tf.contrib.framework.load_variable(args.checkpoint_dir, from_name) assign_ops.append(tf.assign(var, var_value)) sess.run(assign_ops) print('Model loaded.') result = sess.run(output) #cv2.imwrite('./places2_256/'+str(i)+'.jpg',((imgs[0]+1)*127.5).astype("uint8")) cv2.imwrite(args.output+str(i)+'.jpg', result[0][:, :, ::-1])
JiahuiYu
commented
4 years ago Could you please stop creating new issues as they are not necessary?
Facial-Micro-ExpressionGC
commented
4 years ago I’m sorry! Thanks
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From: JiahuiYu notifications@github.com Sent: Friday, February 28, 2020 9:32:04 PM To: JiahuiYu/generative_inpainting generative_inpainting@noreply.github.com Cc: Jireh Jam JIREH.JAM@stu.mmu.ac.uk; Author author@noreply.github.com Subject: Re: [JiahuiYu/generative_inpainting] AttributeError: 'Tensor' object has no attribute 'guided' (#410)
Could you please stop creating new issues as they are not necessary?
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JiahuiYu
commented
4 years ago ValueError: Variable inpaint_net/conv1/kernel already exists, disallowed. Did you mean to set reuse=True or reuse=tf.AUTO_REUSE in VarScope?
Please check this error carefully. It seems you are not using the right pretrained checkpoint.
Hi JiahuiYu , I am currently following your paper and your inpainting algorithm is great. I have been trying to use the test method and I am getting this error "AttributeError: 'Tensor' object has no attribute 'guided' when testing using this code you posted. Please i need your help as i am trying to test a folder of images.
import argparse
import os import cv2 import numpy as np import tensorflow as tf import neuralgym as ng import time
from inpaint_model import InpaintCAModel
def dir_path(string): if os.path.isdir(string): return string else: raise NotADirectoryError(string)
parser = argparse.ArgumentParser() parser.add_argument('--image', default='', type=str, help='The filename of image to be completed.') parser.add_argument('--mask', default='', type=str, help='The filename of mask, value 255 indicates mask.') parser.add_argument('--image_width', default='256', type=str, help='Image Width.') parser.add_argument('--image_height', default='256', type=str, help='Image Height.') parser.add_argument('--out', default='output.png', type=str, help='Where to write output.') parser.add_argument('--checkpoint_dir', default='', type=str, help='The directory of tensorflow checkpoint.')
if name == "main": FLAGS = ng.Config('inpaint.yml')
ng.get_gpus(1)