@Yijunmaverick Hi ！See your item , i'm very intresting ! But , i can't build it ! Because of the caffe version is not confirm!!! at Setup Introduction We use the caffe version v2.5.48. Please refer Caffe for more installation details ！ What's means caffe v2.5.48 ?????

I have encountered a problem when I ran the demo_face128.m. Error occurs at line 36: net = caffe.Net(net_model, net_weights, phase); It shows that: Error parsing text-format caffe.NetParameter: 372:18: Message type "caffe.LayerParameter" has no field named "upsample_param". Is that I failed to compile caffe? but I run make matcaffe and mattest successfully Do you know how to solve it? Thank you!

Hi @Yijunmaverick ,

When I was trying to run your parsing demo, I can not get it work correctly. I implemented your demo in python by following the matlab code step by step. However, the output (as shown below) does not give a good segmentation result. Could you please help me to point out what is wrong with the following code? Or maybe the .caffemodel file itself is not the correct one?

Thanks, Haofu

import caffe
import numpy as np
from PIL import Image
import matplotlib.pyplot as plt

model_def = "Model_parsing.prototxt"
model_weights = "Model_parsing.caffemodel"
net = caffe.Net(model_def, model_weights, caffe.TEST)
caffe.set_mode_cpu()

image_file = "../../repos/gfc/matlab/FaceCompletion_testing/TestImages/182701.png"
image = np.array(Image.open(image_file))

# preprocessing the image to fit the net requirement
input_ = image / 255.0
input_ = input_ * 2 - 1
input_ = input_.transpose(2, 0, 1)
input_ = input_[np.newaxis, ...]

net.blobs['data'].reshape(*input_.shape)
net.blobs['data'].data[...] = input_
output = net.forward()
scores = output['conv_decode0'][0]
segmentation = scores.argmax(0)
segmentation_rgb = np.zeros(image.shape, dtype=np.uint8)

colors = [
    [0, 0, 255],
    [255, 255, 0],
    [160, 32, 240],
    [218, 112, 214],
    [210, 105, 30],
    [94, 38, 18],
    [0, 255, 0],
    [156, 102, 31],
    [0, 0, 0],
    [255, 127, 80],
    [255, 0, 0]
]

for i in range(11):
    segmentation_rgb[np.where(segmentation == i)] = colors[i]

plt.figure(1)
plt.subplot(121)
plt.imshow(image)
plt.subplot(122)
plt.imshow(segmentation_rgb)

Hi,

I tried testing your pretrained Model_G provided here. I tested a sample image that comes in the ./matlab/FaceCompletion_testing/TestImages/ folder with your pretrained model using the ./matlab/FaceCompletion_testing/demo_face128.m file. However, the completion results looks bad. It just seems like a brown plain color and no face completion.

Also, in the demo_face128.m file, there seemed to have been a bug where line 63 was scores = scores{1} which was a 64x64x32 tensor. I changed it to scores = scores{5} which infact was a 128x128x3 sized tensor. Can you tell me what's going wrong here. Thanks.

Hello, im wondering what is the combination of Ubuntu, MATLAB, gcc, g++, cuda and cudnn to build matcaffe?

I have Ubuntu 16.04 with gcc 5.4, CUDA 9.2 and cudnn 7.5. Works well with caffe make test but not with make matcaffe. Matlab 2015a - 2016a need gcc 4.7 Matlab 2016b - 2017b need gcc 4.9 matlab 2018a - 2019b need gcc 6.3

Hello, I have read this paper. I'd like to use this network to process images much larger than 128X128 and the fully-connected layers (FC) will limit the dimension of input,so I wonder that what if you drop that two FC layers in Generator? If you have conducted such experiments, could you please share the results to me. Thanks

@Yijunmaverick when i ran the demo.training.m for training , the matlab showed these errors,: Error in caffe.get_solver (line 7) pSolver = caffe_('get_solver', solver_file);

Error in caffe.Solver (line 22) self = caffe.get_solver(varargin{:});

Error in GFC_caffeinit (line 6) Solver_ = caffe.Solver(solver_file); % c++

Error in demo_GFC_training (line 22) [Solver_G_, Solver_G] = GFC_caffeinit(solver_file_G, save_file_G);

but i ran make matcaffe successfully, have you encountered this problem before?

@Yijunmaverick while running the demo, the matlab shows a error like this:

Error using caffe_ Could not open file model/Model_G_solver.prototxt

is it my path?