-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathtutorial_imgs.py
More file actions
161 lines (129 loc) · 5.48 KB
/
tutorial_imgs.py
File metadata and controls
161 lines (129 loc) · 5.48 KB
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
import argparse
from pathlib import Path
import re
import sys
from zipfile import ZipFile
from PIL import Image, ImageDraw
from matplotlib import pyplot as plt
from matplotlib.patches import Rectangle
WIDTH_DEFAULT, HEIGHT_DEFAULT = (1280, 720)
def crop_relative(
img: Image.Image, left: float, upper: float, right: float, lower: float
):
return img.crop(
(
int(left * WIDTH_DEFAULT),
int(upper * HEIGHT_DEFAULT),
int(right * WIDTH_DEFAULT),
int(lower * HEIGHT_DEFAULT),
)
)
def add_box(
img, left: float, upper: float, right: float, lower: float, color="red", linewidth=1
):
img = img.copy()
xy1 = (int(left * WIDTH_DEFAULT), int(upper * HEIGHT_DEFAULT))
xy2 = (int(right * WIDTH_DEFAULT), int(lower * HEIGHT_DEFAULT))
draw = ImageDraw.Draw(img)
draw.rectangle((xy1, xy2), fill=None, outline=color, width=linewidth)
return img
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="A script to convert recotem Github Actions's img output to a tutorial page imgs."
)
parser.add_argument("input_zip_path", nargs=1)
parser.add_argument("output_path", nargs=1)
args = parser.parse_args()
INPUT_ZIP_PATH = Path(args.input_zip_path[0])
OUTPUT_PATH = Path(args.output_path[0])
zf = ZipFile(INPUT_ZIP_PATH)
pngs = {
x.filename: Image.open(zf.open(x))
for x in zf.filelist
if re.search("tutorial/(\d+).*\.png", x.filename)
}
img_names_aligned = sorted(
pngs.keys(), key=lambda x: int(re.search(r"tutorial/(\d+)\.", x).groups()[0])
)
def save_img_using_original_keyname(img: Image.Image, keyname: str):
img.save((OUTPUT_PATH / keyname.strip("tutorial/")).open("wb"))
IMG_1_KEY = "tutorial/1.input-login-info.png"
img_1 = pngs[IMG_1_KEY]
assert img_1.size == (WIDTH_DEFAULT, HEIGHT_DEFAULT)
img_1 = crop_relative(img_1, 0.0, 0, 1.0, 0.5)
save_img_using_original_keyname(img_1, IMG_1_KEY)
IMG_2_KEY = "tutorial/2.project-top.png"
img_2 = pngs[IMG_2_KEY]
assert img_2.size == (WIDTH_DEFAULT, HEIGHT_DEFAULT)
img_2 = add_box(img_2, 0.55, 0.1, 0.73, 0.17, linewidth=3)
img_2 = crop_relative(img_2, 0.0, 0, 1.0, 0.6)
save_img_using_original_keyname(img_2, IMG_2_KEY)
IMG_3_KEY = "tutorial/3.fill-project-info.png"
img_3 = pngs[IMG_3_KEY]
img_3 = crop_relative(img_3, 0.0, 0, 1.0, 0.8)
save_img_using_original_keyname(img_3, IMG_3_KEY)
IMG_4_KEY = "tutorial/4.empty-project-top.png"
img_4 = pngs[IMG_4_KEY]
img_4 = crop_relative(img_4, 0.0, 0, 1.0, 0.6)
save_img_using_original_keyname(img_4, IMG_4_KEY)
IMG_5_KEY = "tutorial/5.file-input.png"
img_5 = pngs[IMG_5_KEY]
img_5 = add_box(img_5, 0.117, 0.3, 0.955, 0.365)
img_5 = crop_relative(img_5, 0, 0, 1, 0.6)
save_img_using_original_keyname(img_5, IMG_5_KEY)
IMG_6_KEY = "tutorial/6.file-selection-done.png"
img_6 = pngs[IMG_6_KEY]
img_6 = crop_relative(img_6, 0, 0, 1, 0.6)
save_img_using_original_keyname(img_6, IMG_6_KEY)
IMG_7_KEY = "tutorial/7.split-config.png"
img_7 = pngs[IMG_7_KEY]
img_7 = crop_relative(img_7, 0, 0, 1, 0.7)
save_img_using_original_keyname(img_7, IMG_7_KEY)
IMG_8_KEY = "tutorial/8.evaluation-config.png"
img_8 = pngs[IMG_8_KEY]
img_8 = crop_relative(img_8, 0, 0, 1, 0.7)
save_img_using_original_keyname(img_8, IMG_8_KEY)
IMG_9_KEY = "tutorial/9.job-config.png"
img_9 = pngs[IMG_9_KEY]
img_9 = crop_relative(img_9, 0, 0, 1, 0.7)
save_img_using_original_keyname(img_9, IMG_9_KEY)
IMG_10_KEY = "tutorial/10.tuning-job.png"
img_10 = pngs[IMG_10_KEY]
img_10 = add_box(img_10, 0.075, 0.89, 0.97, 0.975, linewidth=3)
save_img_using_original_keyname(img_10, IMG_10_KEY)
IMG_11_KEY = "tutorial/11.tuning-logs.png"
img_11 = pngs[IMG_11_KEY]
save_img_using_original_keyname(img_11, IMG_11_KEY)
IMG_12_KEY = "tutorial/12.tuning-results.png"
img_12 = pngs[IMG_12_KEY]
img_12 = add_box(img_12, 0.275, 0.51, 0.306, 0.57, linewidth=4)
save_img_using_original_keyname(img_12, IMG_12_KEY)
img_13 = pngs[img_names_aligned[12]]
img_13 = crop_relative(img_13, 0.0, 0.0, 1, 0.6)
save_img_using_original_keyname(img_13, img_names_aligned[12])
img_14 = pngs[img_names_aligned[13]]
save_img_using_original_keyname(img_14, img_names_aligned[13])
img_15 = pngs[img_names_aligned[14]]
img_15 = add_box(img_15, 0, 0.19, 0.043, 0.29, linewidth=3)
img_15 = add_box(img_15, 0.85, 0.48, 0.96, 0.565, linewidth=3, color="blue")
save_img_using_original_keyname(
crop_relative(img_15, 0, 0, 1.0, 0.8), img_names_aligned[14]
)
img_16 = pngs[img_names_aligned[15]]
img_16 = add_box(img_16, 0.215, 0.43, 0.81, 0.5, linewidth=3)
save_img_using_original_keyname(
crop_relative(img_16, 0, 0.3, 1, 0.7), img_names_aligned[15]
)
img_17 = pngs[img_names_aligned[16]]
img_17 = add_box(img_17, 0, 0.365, 0.043, 0.47, linewidth=3)
img_17 = add_box(img_17, 0.09, 0.295, 0.943, 0.37, linewidth=3, color="blue")
save_img_using_original_keyname(
crop_relative(img_17, 0, 0, 1, 0.6), img_names_aligned[16]
)
img_18 = pngs[img_names_aligned[17]]
img_18 = add_box(img_18, 0.77, 0.41, 0.96, 0.48, linewidth=3)
save_img_using_original_keyname(
crop_relative(img_18, 0, 0, 1, 0.6), img_names_aligned[17]
)
save_img_using_original_keyname(pngs[img_names_aligned[18]], img_names_aligned[18])
img_names_aligned[18]