def getVal():
global frame_count
global total_frames
global video_path
global video_path_hmr
global video_hmr_pickle
for i in range(0, 24):
if poses_dict[i].v1.get() == 1:
Posex[str(i+1)] = poses_dict[i].v.get()
elif poses_dict[i].v1.get() == 2:
Posey[str(i+1)] = poses_dict[i].v.get()
elif poses_dict[i].v1.get() == 3:
Posez[str(i+1)] = poses_dict[i].v.get()
for i in range(0, 10):
Beta[str(i+1)] = beta_dict[i].v.get()
Beta[str(i+1)] = beta_dict[i].s.get()
# print(beta_dict[i].s.get())
pose = []
beta = []
for i in range(0, 24):
pose.append(Posex[str(i+1)])
pose.append(Posey[str(i+1)])
pose.append(Posez[str(i+1)])
for i in range(0, 10):
beta.append(Beta[str(i+1)])
# print(pose, beta)
#print(params_path)
hmr_params_path = video_hmr_pickle + str(frame_count) + ".pkl"
print(hmr_params_path)
verts = get_mesh(m, np.array(pose), np.array(beta))
file = open(hmr_params_path, 'rb')
data = pickle.load(file)
print(np.array(beta))
print(type(data['shape'][0][2]))
proc_param = data['proc_param']
cam = data['cam']
joints = data['joints']
frame_path = video_path + str(frame_count) + ".png"
print(frame_path)
folder_name = frame_path.split('/')[-2]
rerenders(frame_path, proc_param, joints, verts, cam, folder_name)
hmr_frame_path = "/home/ankur/GUI_project/frames/FRAMES_HMR/" + folder_name + '/' + frame_path.split('/')[-1][:-4] + ".png"
params = {'proc_param': proc_param, 'joints': joints, 'cam': cam, 'pose': np.array(pose), 'shape': np.array(beta)}
print(params)
print(hmr_params_path)
with open(hmr_params_path, 'wb') as f:
pickle.dump(params, f)
app.load_params(hmr_params_path, flag = 1)
app.image2 = ImageTk.PhotoImage(Image.open(hmr_frame_path).resize((500, 500)))
app.label.configure(image=app.image2)
def getVal(_event=None): #Refresh Button
global frame_count, total_frames, video_path, video_path_hmr, video_hmr_pickle
for i in range(0, 24):
if poses_dict[i].v1.get() == 1:
Posex[str(i + 1)] = poses_dict[i].v.get()
elif poses_dict[i].v1.get() == 2:
Posey[str(i + 1)] = poses_dict[i].v.get()
elif poses_dict[i].v1.get() == 3:
Posez[str(i + 1)] = poses_dict[i].v.get()
for i in range(0, 10):
Beta[str(i + 1)] = beta_dict[i].v.get()
Beta[str(i + 1)] = beta_dict[i].s.get()
pose = []
beta = []
for i in range(0, 24):
pose.append(Posex[str(i + 1)])
pose.append(Posey[str(i + 1)])
pose.append(Posez[str(i + 1)])
for i in range(0, 10):
beta.append(Beta[str(i + 1)])
hmr_params_path = video_hmr_pickle + str(frame_count) + ".pkl"
verts = get_mesh(m, np.array(pose), np.array(beta))
file = open(hmr_params_path, 'rb')
data = pickle.load(file)
proc_param = data['proc_param']
cam = data['cam']
joints = data['joints']
frame_path = video_path + str(frame_count) + ".jpg"
folder_name = frame_path.split('/')[-2]
rerenders(frame_path, proc_param, joints, verts, cam, folder_name)
cur_path = os.getcwd()
hmr_frame_path = cur_path + "/frames/FRAMES_HMR/" + folder_name + '/' + frame_path.split(
'/')[-1][:-4] + ".png"
params = {
'proc_param': proc_param,
'joints': joints,
'cam': cam,
'pose': np.array(pose),
'shape': np.array(beta)
}
with open(hmr_params_path, 'wb') as f:
pickle.dump(params, f)
app.load_params(hmr_params_path, flag=1)
app.image2 = ImageTk.PhotoImage(
Image.open(hmr_frame_path).resize((500, 500)))
app.label.configure(image=app.image2)
def getVal():
global params_path
for i in range(0, 24):
if poses_dict[i].v1.get() == 1:
Posex[str(i + 1)] = poses_dict[i].v.get()
elif poses_dict[i].v1.get() == 2:
Posey[str(i + 1)] = poses_dict[i].v.get()
elif poses_dict[i].v1.get() == 3:
Posez[str(i + 1)] = poses_dict[i].v.get()
for i in range(0, 10):
Beta[str(i + 1)] = beta_dict[i].v.get()
pose = []
beta = []
for i in range(0, 24):
pose.append(Posex[str(i + 1)])
pose.append(Posey[str(i + 1)])
pose.append(Posez[str(i + 1)])
for i in range(0, 10):
beta.append(Beta[str(i + 1)])
print(pose, beta)
print(params_path)
verts = get_mesh(m, np.array(pose), np.array(beta))
file = open(params_path, 'rb')
data = pickle.load(file)
proc_param = data['proc_param']
cam = data['cam']
joints = data['joints']
rerenders(im_path, proc_param, joints, verts, cam)
img_path = "/home/yudhik/study/RESEARCH/GUI_project/test_img/" + im_path.split(
'/')[-1][:-4] + ".png"
app.load_image()