-
Notifications
You must be signed in to change notification settings - Fork 1
/
Copy pathpdf_generator.py
219 lines (194 loc) · 8.19 KB
/
pdf_generator.py
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
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 18 10:53:23 2023
@author: orochi
"""
from reportlab.lib.pagesizes import letter, landscape
from reportlab.pdfgen import canvas
# from reportlab.lib import utils
from reportlab.platypus import SimpleDocTemplate, Paragraph, Image, Spacer, Table
from mojograsp.simcore.data_gui_backend import PlotBackend
import matplotlib.pyplot as plt
import json
# from PIL import Image
import pathlib
import numpy as np
from io import BytesIO
import os
import cv2
import csv
# import imageio
class CanvasMock():
def draw(self):
pass
class ImageMaker():
def __init__(self, save_path,not_stand=False,land=False):
self.folder = pathlib.Path(save_path)
self.data_type = None
self.fig, self.ax = plt.subplots()
self.figure_canvas_agg = CanvasMock()
self.figure_canvas_agg.draw()
self.clear_plots = True
self.legend = []
self.curr_graph = None
self.e_num = -2
self.all_data = None
self.colorbar = None
self.big_data = False
self.succcess_range = 0.002
self.use_distance = False
self.backend = PlotBackend(str(self.folder))
self.backend.moving_avg = 20
self.table = []
self.tablen = 8
# self.pdf_canvas = canvas.Canvas(str(self.folder)+'/StandardPlots.pdf', pagesize=letter)
if landscape:
if not_stand:
self.doc = SimpleDocTemplate(str(self.folder)+'/OtherPlots.pdf', pagesize=landscape(letter), )
else:
self.doc = SimpleDocTemplate(str(self.folder)+'/StandardPlots.pdf', pagesize=landscape(letter))
else:
if not_stand:
self.doc = SimpleDocTemplate(str(self.folder)+'/OtherPlots.pdf', pagesize=letter, )
else:
self.doc = SimpleDocTemplate(str(self.folder)+'/StandardPlots.pdf', pagesize=letter)
self.images =[]
self.imnames = []
self.flowables =[]
self.count = 0
self.thing = False
def plot_to_png(self,fig_name=''):
self.fig.canvas.draw()
plt.savefig(f'temp{self.count}.png')
# spacer=Spacer(600, 15)
# buf = np.frombuffer(self.fig.canvas.tostring_rgb(), dtype=np.uint8)
# buf = buf.reshape(self.fig.canvas.get_width_height()[::-1] + (3,))
# imthing = Image.fromarray(buf)
# self.images.append(imgdata.copy())
# self.imnames.append(fig_name)
# letter size is 612x792 points'
# self.pdf_canvas.drawString(100, self.height, fig_name)
if not self.thing:
self.table.append([Paragraph(fig_name)])
self.table.append([Image(f'temp{self.count}.png',width=300,height = 200,hAlign='LEFT')])
if self.thing:
print(self.count, len(self.table))
self.table[(self.count-self.tablen)*2].append(Paragraph(fig_name))
self.table[(self.count-self.tablen)*2 + 1].append(Image(f'temp{self.count}.png',width=300,height = 200,hAlign='RIGHT'))
self.count += 1
# self.pdf_canvas.drawImage(imgdata, 60, self.height, width=500, height=500)
# self.pdf_canvas.
def save_pdf(self):
# for image,name in zip(self.images,self.imnames):
# print(type(image))
# self.pdf_canvas.drawString(100, 100, name)
# self.pdf_canvas.drawImage(image, 30, 600, width=100, height=100)
# self.pdf_canvas.save()
self.flowables.append(Table(self.table))
self.doc.build(self.flowables)
files = os.listdir()
files_to_trim = []
for f in files:
if 'temp' in f and '.png' in f:
# print('file to remove')
print(f)
os.remove(f)
def plot_sd(self, axes, avg_trial, color, use_filtered=True):
avg_x, avg_y, _ = avg_trial.get_poses(use_filtered=use_filtered)
ad_x_up, ad_y_up, _ = avg_trial.get_poses_ad(which_set=1)
ad_x_down, ad_y_down, _ = avg_trial.get_poses_ad(which_set=2)
# necessary for building the polygon
r_ad_x = list(reversed(ad_x_down))
r_ad_y = list(reversed(ad_y_down))
poly = []
for ax, ay in zip(ad_x_up, ad_y_up):
pt = [ax, ay]
poly.append(pt)
# add last point for nicer looking plot
last_pose = avg_trial.get_last_pose()
poly.append([last_pose[0], last_pose[1]])
for ax, ay in zip(r_ad_x, r_ad_y):
pt = [ax, ay]
poly.append(pt)
polyg = plt.Polygon(poly, color=color, alpha=0.4)
#plt.gca().add_patch(polyg)
axes.add_patch(polyg)
def standard_plots(self):
train_path = str(self.folder.joinpath('Train'))
test_path = str(self.folder.joinpath('Test'))
eval_a_path = str(self.folder.joinpath('Eval_A'))
eval_b_path = str(self.folder.joinpath('Eval_B'))
print(test_path)
#episode rewards
print('starting standard plots')
self.backend.draw_net_reward(test_path)
self.plot_to_png('Net Reward')
#ending distance
self.backend.draw_shortest_goal_dist(test_path)
self.plot_to_png('Average Ending Distance')
#eval ending distance for hand A
self.backend.draw_scatter_end_dist(eval_a_path)
self.plot_to_png('Hand A Trained Ending Distance')
#eval ending distance for hand B
self.backend.draw_scatter_end_dist(eval_b_path)
self.plot_to_png('Hand B Trained Ending Distance')
print('saving to pdf')
self.save_pdf()
# self.make_gifs()
def eval_plots(self):
# this one makes all the ending distance plots and records the mean and std dev of that and the efficiency to a csv file while doing it
suffixes = ["B","A",
"2v2_70.30_70.30_1.1_53",
"2v2_35.65_35.65_1.1_53",
"2v2_65.35_65.35_1.1_63",
"2v2_50.50_50.50_1.1_63",
"2v2_70.30_70.30_1.1_63",
"2v2_35.65_35.65_1.1_63",
"2v2_65.35_65.35_1.1_73",
"2v2_50.50_50.50_1.1_73",
"2v2_70.30_70.30_1.1_73",
"2v2_35.65_35.65_1.1_73"]
csv_lists = [self.folder.stem]
top_row = ["2v2_65.35_65.35_1.1_53",'','','',
"2v2_50.50_50.50_1.1_53",'','','',
"2v2_70.30_70.30_1.1_53",'','','',
"2v2_35.65_35.65_1.1_53",'','','',
"2v2_65.35_65.35_1.1_63",'','','',
"2v2_50.50_50.50_1.1_63",'','','',
"2v2_70.30_70.30_1.1_63",'','','',
"2v2_35.65_35.65_1.1_63",'','','',
"2v2_65.35_65.35_1.1_73",'','','',
"2v2_50.50_50.50_1.1_73",'','','',
"2v2_70.30_70.30_1.1_73",'','','',
"2v2_35.65_35.65_1.1_73",'','','']
middle_row = []
for suf in suffixes:
eval_path = str(self.folder.joinpath('Eval_'+suf))
dist_nums = self.backend.draw_scatter_end_dist(eval_path)
self.plot_to_png(suf)
efficiency_nums = self.backend.draw_average_efficiency(eval_path)
csv_lists.extend(dist_nums)
csv_lists.extend(efficiency_nums)
middle_row.extend(['Average Goal Distance','STD Dev','Average Efficiency','STD Dev'])
self.save_pdf()
with open('./distance_and_efficiency.csv', 'a', newline='') as csvfile:
writer = csv.writer(csvfile, delimiter=',',
quotechar='|', quoting=csv.QUOTE_MINIMAL)
writer.writerow(csv_lists)
if __name__ == '__main__':
base_path = pathlib.Path(__file__)
base_path = base_path.parent
base_path = base_path.joinpath('demos/rl_demo/data/HPC Runs/')
base_path=str(base_path)+'/'
subpaths = ['FTP_euler_3', 'FTP_euler_5', 'FTP_quat_3','FTP_quat_5','JA_euler_3','JA_euler_5','JA_quat_3','JA_quat_5']
image_boi = ImageMaker(base_path+'FTP_euler_3',land=True)
for path in subpaths:
image_boi.backend.draw_orientation_success_rate(base_path+path+'/Eval_A/',5000)
image_boi.plot_to_png(path)
image_boi.thing=True
# image_boi.count=0
for path in subpaths:
image_boi.backend.draw_end_poses(base_path+path+'/Eval_A/')
image_boi.plot_to_png(path)
image_boi.save_pdf()