File size: 12,843 Bytes
352b049
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
import numpy as np
import cv2
from vedo import Mesh, Plane, Plotter, screenshot
import imageio.v2 as imageio
# import imageio as imageio
import re
import os
from .visual import get_ptc # probaly vpython
from PIL import Image
from tqdm import tqdm

screenshot_scale = 3

PLAY_OBS_BEFORE_PRED = True
obs_dir = ""
cam = dict(
        position=(-3.85922, -4.78140, 2.689328),
        focal_point=(0.192544, 4.77379e-3, 0.0127248),
        viewup=(0.0724348, 0.109097, 0.991388),
        distance=5.25119,
        clipping_range=(4.38228, 6.36775),
    )

_green= [0.4, 0.7, 0.5]
_blue =[0.7, 0.9, 1.0]
_dark_blue =[0.03, 0.4, 0.7]
_orange = [0.9, 0.7, 0.2]

def get_mesh(mesh_name, color='darksalmon', mesh_opacity=1.0, mesh_lighting='default', rotation=[0, 0, 0], offset=[0, 0, 0], scale=0):
    offset = np.array(offset)
    #styles = ['default', 'metallic', 'plastic', 'shiny', 'glossy', 'ambient', 'off']
    mesh = Mesh(mesh_name, c=color, alpha=mesh_opacity).lighting(mesh_lighting)
    if scale == 0:
        bnd = np.array(mesh.bounds())
        scale = 1 / max(bnd[1]-bnd[0], bnd[3]-bnd[2], bnd[5]-bnd[4])
    mesh.scale(scale)
    mesh.pos(offset)
    mesh.rotate_x(rotation[0])
    mesh.rotate_y(rotation[1])
    mesh.rotate_z(rotation[2])
    # mesh.phong()
    # mesh2.phong()
    return mesh, scale

def save_png_rm_bg(filename, im, bg_color_min=[0, 255, 100], bg_color_max=None, rgb=False):
    # https://stackoverflow.com/questions/72062001/remove-everything-of-a-specific-color-with-a-color-variation-tolerance-from-an
    # for transperancy:
    # https://stackoverflow.com/questions/55582117/efficiently-converting-color-to-transparency-in-python

    if bg_color_max is None:
        bg_color_max = bg_color_min
    # bg_color_min = [bg_color_min[2], bg_color_min[1], bg_color_min[0]]
    # bg_color_max = [bg_color_max[2], bg_color_max[1], bg_color_max[0]]
    # Load image
    # im = cv2.imread('test.png')

    # Define lower and upper limits of our blue
    min = np.array(bg_color_min, np.uint8)
    max = np.array(bg_color_max, np.uint8)

    # Go to HSV colourspace and get mask of blue pixels
    # HSV = cv2.cvtColor(im, cv2.COLOR_BGR2HSV)
    mask = cv2.inRange(im, min, max)
    # Try dilating (enlarging) mask with 3x3 structuring element
    # SE = cv2.getStructuringElement(cv2.MORPH_ELLIPSE, (3, 3))
    # mask = cv2.dilate(mask, kernel, iterations=1)

    # create alpha channel
    alpha = (im[:, :, 0] * 0 + 255)

    # Make all pixels in mask white
    alpha[mask > 0] = 0

    # add alpha channel
    if rgb:
        im = cv2.merge((im[:, :, 0], im[:, :, 1], im[:, :, 2], alpha))
    else:
        im = cv2.merge((im[:, :, 2], im[:, :, 1], im[:, :, 0], alpha))

    # crop to visible part
    mask = im[:, :, 3] != 0.
    coords = np.argwhere(mask)
    y0, x0 = coords.min(axis=0)
    y1, x1 = coords.max(axis=0) + 1
    # im = im[y0:y1, x0:x1, :]

    # write to file
    cv2.imwrite(filename, im)

def save_plot_as_transparent_png(plt, out_filename):
    # if not out_filename is None:
    bg_col = [255, 255, 255]
    plt.background(c1=bg_col)
    save_png_rm_bg(out_filename, plt.screenshot(asarray=True), bg_color_min=bg_col)


def get_mesh_shadow(mesh, offset=[0, 0, 0], plane_normal=(0, 0, 1), direction=[0.1, -1.8, 3]):
    shadow = []
    shad_col = np.array([0.8, 0.8, 0.8])
    min_z = mesh.vertices.min(axis=0)[2]
    # mesh.add_shadow(plane='z', point=min_z, alpha=1, c=shad_col, culling=0.9,)
    plane = Plane(pos=np.array([0, 0, min_z]) + np.array(offset), normal=plane_normal, s=[7, 7]).alpha(0.2)
    shad = mesh.clone().project_on_plane(plane, direction=-np.array(direction) + np.array(offset))
    shad.c(shad_col).alpha(1).lighting("off").use_bounds(False)
    shadow = shad
    return shadow

def plot_meshes(mesh_files, cam, mesh_color=[1, 1, 1], rotation=[0, 0, 0]):
    
    mesh_opacity = 0.8
    plot_shadows = True
    
    pass

def create_visual(mesh_files, color='coral', dest_name="", x=0,y=0,z=0, type='mesh', mesh_lighting='plastic', obs_dir=""):
    meshes, scales =[], [] 
    bg_col = [255, 255, 255]# plotter = Plotter(offscreen=True)
    plotter = Plotter(bg=[255, 255, 255], offscreen=True)

    frame_files = []
    # lights = get_lights()
    for file in tqdm(mesh_files):
        mesh, scale = get_mesh(file, color=color, rotation=[x,y,z], mesh_lighting=mesh_lighting, scale=0.6)
        # scalars = 1- mesh.vertices[:, 2]
        # mesh.cmap('Oranges', scalars)
       
        plotter.clear()
        
        shadow = get_mesh_shadow(mesh)
        
        # plotter.add([mesh, shadow])
        # plotter.show(mesh, __doc__, interactive=False, camera=cam, resetcam=True, zoom=2)
        plotter.show(mesh, shadow, __doc__, interactive=False, camera=cam, resetcam=True, zoom=2)
        frame_path =file[:-4] + ".png"
        frame_files.append(frame_path)
        screenshot(frame_path, scale=1)
        save_png_rm_bg(file[:-4]+"new.png", plotter.screenshot(asarray=True), bg_color_min=bg_col)

    # Compile saved frames into a GIF
    filename = os.path.join(dest_name + '.gif')
    create_transparent_gif(frame_files, dest_name, obs_dir)
    # with imageio.get_writer(filename, mode='I', duration=2) as writer: #duration=0.2) as writer:
    #     for filename in frame_files:
    #         image = imageio.imread(filename)
    #         writer.append_data(image)


def create_transparent_gif(frame_files, dest_name, obs_dir):
    images = []
    if "obs" not in dest_name and PLAY_OBS_BEFORE_PRED:
        # visit all file under obs_dir that end with new.png
        obs_files = [os.path.join(obs_dir, f) for f in os.listdir(obs_dir) if f.endswith('new.png')]
        # sort the files
        obs_files = sort_list(obs_files)
        for i, frame in enumerate(obs_files):
            im = Image.open(frame)
            images.append(im)
    
    # Optimize: Load all frames at once and process them in batch
    frame_files = [f.replace('.png', 'new.png') for f in frame_files]
    frame_files = sort_list(frame_files)
    
    # Use a more efficient way to load and process images
    for frame in frame_files:
        im = Image.open(frame)
        images.append(im)

    # Save with optimized settings
    images[0].save(
        os.path.join(dest_name + '_tranp.gif'),
        format="GIF",
        save_all=True,
        loop=1,
        append_images=images[1:],  # Skip first image as it's already saved
        duration=0.033,  # Reduced from 0.016 to 0.033 (30fps)
        disposal=2,
        optimize=True,  # Enable optimization
        quality=85,  # Reduced quality for better performance
        colors=64  # Reduce color palette
    )
    
    # Clean up
    for im in images:
        im.close()

def sort_list(l):
    try:
        return list(sorted(l, key=lambda x: int(re.search(r'\d+(?=\.)', x).group())))
    except AttributeError:
        return sorted(l)
    

def visual_gt(mesh_files, color, x,y,z, type='mesh'):
    bg_col = [255, 255, 255]# plotter = Plotter(offscreen=True)
    plotter = Plotter(bg=[255, 255, 255], offscreen=True)

    frame_files = []
    # lights = get_lights()
    for file in mesh_files:
        
        if type == 'mesh':
            mesh, scale = get_mesh(file, color=color, rotation=[x,y,z], mesh_lighting='plastic')
            # scalars = 1- mesh.vertices[:, 2]
            # mesh.cmap('Blues', scalars)
        else:
            mesh, scale = get_ptc(file, rotation=[x,y,z])
            mesh.c([0.5,0.5,0.5])
       
        plotter.clear()
        
        shadow = get_mesh_shadow(mesh)
        
        # plotter.add([mesh, shadow])
        plotter.show(mesh, shadow, __doc__, interactive=False, camera=cam, resetcam=True, zoom=2)
        frame_path =file[:-4] + ".png"
        frame_files.append(frame_path)
        screenshot(frame_path, scale=1)
        save_png_rm_bg(file[:-4]+"new.png", plotter.screenshot(asarray=True), bg_color_min=bg_col)


def plot_two_mesh(meshfile1, meshfile2, color, x,y,z):
    plotter = Plotter(bg=[255, 255, 255], offscreen=True)
    mesh1, scale = get_ptc(meshfile1, rotation=[x,y,z])
    mesh1.alpha(1.0).c([0.5,0.5,0.5])
    # scalars = 1- mesh1.vertices[:, 2]
    # mesh1.cmap('Oranges', scalars)
    # mesh1.c(_dark_blue)
    mesh2, scale = get_mesh(meshfile2, color=color, rotation=[x,y,z], mesh_lighting='plastic')
   
    shadow = get_mesh_shadow(mesh2)
    plotter.show(mesh1, mesh2, shadow, __doc__, interactive=False, camera=cam, resetcam=True, zoom=2)
    frame_path =meshfile2[:-4] + ".png"
    
    screenshot(frame_path, scale=1)
    save_png_rm_bg(meshfile2[:-4]+"both.png", plotter.screenshot(asarray=True), bg_color_min=[255, 255, 255])
    
import argparse

  
    

def main(parent_folder, displayed_preds=3):
    file_type = '.obj' #'mesh.ply'
    x,y,z = 0, 0, -90  # Changed from 0,0,0 to rotate around x-axis
    dest_dir = os.path.join(os.path.dirname(parent_folder), 'shadow_gif')
    obs_dir = os.path.join(os.path.dirname(parent_folder), 'obs_obj')
    os.makedirs(dest_dir, exist_ok=True)
    
    # Check if we already have enough GIFs
    existing_gifs = [f for f in os.listdir(dest_dir) if f.endswith('_tranp.gif') and not f.startswith('obs')]
    if len(existing_gifs) >= displayed_preds:
        print(f"Found {len(existing_gifs)} existing GIFs, which is enough for {displayed_preds} predictions")
        return
    
    print(f"Found {len(existing_gifs)} existing GIFs, need {displayed_preds}, proceeding with generation")
    
    # If no existing GIFs, proceed with generation
    subfolders = sorted([f for f in os.listdir(parent_folder) if os.path.isdir(os.path.join(parent_folder, f)) and 'obj' in f])
    for f in subfolders:
        folder = os.path.join(parent_folder, f)
        dest_name = os.path.join(dest_dir, f)

        mesh_files = [os.path.join(folder, f) for f in os.listdir(folder) if f.endswith(file_type)]
        mesh_files = sort_list(mesh_files)
        os.makedirs(dest_dir, exist_ok=True)
        
        #color "lightblue" "navajowhite"
        if 'obs' in f:
            create_visual(mesh_files, _green, dest_name, x,y,z, type='mesh', mesh_lighting='plastic', obs_dir=obs_dir)
        else: 
            create_visual(mesh_files, _dark_blue, dest_name, x,y,z, type='mesh', mesh_lighting='plastic', obs_dir=obs_dir)
    

if __name__ == "__main__":
    parser = argparse.ArgumentParser()
    #conda activate hmp_visualize
    parser.add_argument('-f', '--mesh_parent_folder', type=str, default="final_output/hmp/visuals/amass/SkeletonDiffusion/test/952_WalkTogether/obj")
    
    args = parser.parse_args()
    main(args.mesh_parent_folder)
    
    ####################################################################################################################################
    # Old code snippet, kept just for reference. Jialin here there may be somehting you will need, or maybe not :) If you do not need you can delete
    ####################################################################################################################################

    # other functions not needed, from older code
    # visual_gt(gt_mesh_files, 0,0,-90, type='mesh') # this line was commented out by Lu
    # visual_gt(gt_obj_files, 'salmon', x,y,z)#--> .png and new.png (transparent) per frame
    # gt_ptc_files = [os.path.join(folder, prefix +'gt_pointcloud_x.ply'),os.path.join(folder, prefix +'gt_pointcloud_y.ply')]
    # gt_obj_files = sort_list([os.path.join(target_folder, f) for f in os.listdir(target_folder) if f.endswith(file_type)])
    # plot_two_mesh(gt_ptc_files[1], mesh_files[-1], "lightblue", x,y,z)

    # older code
    # final_folder
    # gif_folder
    # filename = os.path.join(dest_name + '.gif')
    # frame_files = [os.path.join(gif_folder, f"pred{i}.gif") for i in range(10)]
    # obs_image = imageio.imread(os.path.join(gif_folder, f"obs_salmon.png"))
    # for i,filename in enumerate(frame_files):
    #     image = imageio.imread(filename)
    #     frames = np.vstack([obs_image, image])
    #     imageio.imwrite(os.path.join(final_folder, f"pred{i}.gif"), frames, fps=50)

    # image = imageio.imread(os.path.join(gif_folder, f"gt_salmon.gif"))
    # frames = np.vstack([obs_image, image])
    # imageio.imwrite(os.path.join(final_folder, f"gt.gif"), frames, fps=50)



    # gifs= [imageio.imread(os.path.join(final_folder, f"pred{i}.gif")) for i in range(10)]
    # #Create writer object
    # new_gif = imageio.get_writer(os.path.join(final_folder, f"output.gif"))

    # for frame_number in range(len(gifs[0])):
    #     img1 = gif1.get_next_data()
    #     img2 = gif2.get_next_data()
    #     #here is the magic
    #     upper_row = np.hstack((gifs[:5, frame_number]))
    #     lower_row = np.hstack((gifs[5:, frame_number]))
    #     new_image = np.vstack((upper_row, lower_row))
    #     new_gif.append_data(new_image)


    print("done.")