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ave_layer.py
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import cv2
import os
import warnings
from IPython import embed
import matplotlib.pyplot as plt
import matplotlib
import numpy as np
matplotlib.use('agg')
warnings.filterwarnings(action='ignore')
class_id_to_name = {
"0": "apple",
"1": "ball",
"2": "banana",
"3": "bell_pepper",
"4": "binder",
"5": "bowl",
"6": "calculator",
"7": "camera",
"8": "cap",
"9": "cell_phone",
"10": "cereal_box",
"11": "coffee_mug",
"12": "comb",
"13": "dry_battery",
"14": "flashlight",
"15": "food_bag",
"16": "food_box",
"17": "food_can",
"18": "food_cup",
"19": "food_jar",
"20": "garlic",
"21": "glue_stick",
"22": "greens",
"23": "hand_towel",
"24": "instant_noodles",
"25": "keyboard",
"26": "kleenex",
"27": "lemon",
"28": "lightbulb",
"29": "lime",
"30": "marker",
"31": "mushroom",
"32": "notebook",
"33": "onion",
"34": "orange",
"35": "peach",
"36": "pear",
"37": "pitcher",
"38": "plate",
"39": "pliers",
"40": "potato",
"41": "rubber_eraser",
"42": "scissors",
"43": "shampoo",
"44": "soda_can",
"45": "sponge",
"46": "stapler",
"47": "tomato",
"48": "toothbrush",
"49": "toothpaste",
"50": "water_bottle"
}
def sort_b_by_a(a,b):
sorted_b = sorted(b, key=lambda x: a[b.index(x)])
sorted_a = sorted(a)
return sorted_a,sorted_b
def read_txt(filepath):
f = open(filepath)
data = f.read()
data = data.split('\n')
Name = []
L1_norm = []
for i in data:
if len(i) == 0:
continue
part = i.split(' | ')
name = part[0][6:]
l1_norm = float(part[1])
Name.append(name)
L1_norm.append(l1_norm)
L1_norm,Name = sort_b_by_a(L1_norm,Name)
f.close()
return Name, L1_norm
def write_new_txt_for_visualize(filepath):
Name_X, L1_X = read_txt(filepath + 'avg_image_l1_X.txt')
Name_Y, L1_Y = read_txt(filepath + 'avg_image_l1_Y.txt')
Name_U0, L1_U0 = read_txt(filepath + 'avg_image_l1_U0.txt')
Name_V0, L1_V0 = read_txt(filepath + 'avg_image_l1_V0.txt')
Name_C0, L1_C0 = read_txt(filepath + 'avg_image_l1_C0.txt')
Name_U1, L1_U1 = read_txt(filepath + 'avg_image_l1_U1.txt')
Name_V1, L1_V1 = read_txt(filepath + 'avg_image_l1_V1.txt')
Name_C1, L1_C1 = read_txt(filepath + 'avg_image_l1_C1.txt')
Name_U2, L1_U2 = read_txt(filepath + 'avg_image_l1_U2.txt')
Name_V2, L1_V2 = read_txt(filepath + 'avg_image_l1_V2.txt')
Name_C2, L1_C2 = read_txt(filepath + 'avg_image_l1_C2.txt')
Name_U3, L1_U3 = read_txt(filepath + 'avg_image_l1_U3.txt')
Name_V3, L1_V3 = read_txt(filepath + 'avg_image_l1_V3.txt')
Name_C3, L1_C3 = read_txt(filepath + 'avg_image_l1_C3.txt')
with open(filepath + 'avg_l1_name.txt', "a+") as file_l0:
file_l0.write('X ##### ')
file_l0.write(str(Name_X))
file_l0.write('\n')
file_l0.write('Y ##### ')
file_l0.write(str(Name_Y))
file_l0.write('\n')
file_l0.write('U0 ##### ')
file_l0.write(str(Name_U0))
file_l0.write('\n')
file_l0.write('V0 ##### ')
file_l0.write(str(Name_V0))
file_l0.write('\n')
file_l0.write('C0 ##### ')
file_l0.write(str(Name_C0))
file_l0.write('\n')
file_l0.write('U1 ##### ')
file_l0.write(str(Name_U1))
file_l0.write('\n')
file_l0.write('V1 ##### ')
file_l0.write(str(Name_V1))
file_l0.write('\n')
file_l0.write('C1 ##### ')
file_l0.write(str(Name_C1))
file_l0.write('\n')
file_l0.write('U2 ##### ')
file_l0.write(str(Name_U2))
file_l0.write('\n')
file_l0.write('V2 ##### ')
file_l0.write(str(Name_V2))
file_l0.write('\n')
file_l0.write('C2 ##### ')
file_l0.write(str(Name_C2))
file_l0.write('\n')
file_l0.write('U3 ##### ')
file_l0.write(str(Name_U3))
file_l0.write('\n')
file_l0.write('V3 ##### ')
file_l0.write(str(Name_V3))
file_l0.write('\n')
file_l0.write('C3 ##### ')
file_l0.write(str(Name_C3))
file_l0.write('\n')
file_l0.flush()
with open(filepath + 'avg_l1_value.txt', "a+") as file_l0:
file_l0.write('X ##### ')
file_l0.write(str(L1_X))
file_l0.write('\n')
file_l0.write('Y ##### ')
file_l0.write(str(L1_Y))
file_l0.write('\n')
file_l0.write('U0 ##### ')
file_l0.write(str(L1_U0))
file_l0.write('\n')
file_l0.write('V0 ##### ')
file_l0.write(str(L1_V0))
file_l0.write('\n')
file_l0.write('C0 ##### ')
file_l0.write(str(L1_C0))
file_l0.write('\n')
file_l0.write('U1 ##### ')
file_l0.write(str(L1_U1))
file_l0.write('\n')
file_l0.write('V1 ##### ')
file_l0.write(str(L1_V1))
file_l0.write('\n')
file_l0.write('C1 ##### ')
file_l0.write(str(L1_C1))
file_l0.write('\n')
file_l0.write('U2 ##### ')
file_l0.write(str(L1_U2))
file_l0.write('\n')
file_l0.write('V2 ##### ')
file_l0.write(str(L1_V2))
file_l0.write('\n')
file_l0.write('C2 ##### ')
file_l0.write(str(L1_C2))
file_l0.write('\n')
file_l0.write('U3 ##### ')
file_l0.write(str(L1_U3))
file_l0.write('\n')
file_l0.write('V3 ##### ')
file_l0.write(str(L1_V3))
file_l0.write('\n')
file_l0.write('C3 ##### ')
file_l0.write(str(L1_C3))
file_l0.write('\n')
file_l0.flush()
def write_new_txt_for_visualize_l0(filepath):
Name_X, L1_X = read_txt(filepath + 'avg_image_l0_X.txt')
Name_Y, L1_Y = read_txt(filepath + 'avg_image_l0_Y.txt')
Name_U0, L1_U0 = read_txt(filepath + 'avg_image_l0_U0.txt')
Name_V0, L1_V0 = read_txt(filepath + 'avg_image_l0_V0.txt')
Name_C0, L1_C0 = read_txt(filepath + 'avg_image_l0_C0.txt')
Name_U1, L1_U1 = read_txt(filepath + 'avg_image_l0_U1.txt')
Name_V1, L1_V1 = read_txt(filepath + 'avg_image_l0_V1.txt')
Name_C1, L1_C1 = read_txt(filepath + 'avg_image_l0_C1.txt')
Name_U2, L1_U2 = read_txt(filepath + 'avg_image_l0_U2.txt')
Name_V2, L1_V2 = read_txt(filepath + 'avg_image_l0_V2.txt')
Name_C2, L1_C2 = read_txt(filepath + 'avg_image_l0_C2.txt')
Name_U3, L1_U3 = read_txt(filepath + 'avg_image_l0_U3.txt')
Name_V3, L1_V3 = read_txt(filepath + 'avg_image_l0_V3.txt')
Name_C3, L1_C3 = read_txt(filepath + 'avg_image_l0_C3.txt')
with open(filepath + 'avg_l0_name.txt', "a+") as file_l0:
file_l0.write('X ##### ')
file_l0.write(str(Name_X))
file_l0.write('\n')
file_l0.write('Y ##### ')
file_l0.write(str(Name_Y))
file_l0.write('\n')
file_l0.write('U0 ##### ')
file_l0.write(str(Name_U0))
file_l0.write('\n')
file_l0.write('V0 ##### ')
file_l0.write(str(Name_V0))
file_l0.write('\n')
file_l0.write('C0 ##### ')
file_l0.write(str(Name_C0))
file_l0.write('\n')
file_l0.write('U1 ##### ')
file_l0.write(str(Name_U1))
file_l0.write('\n')
file_l0.write('V1 ##### ')
file_l0.write(str(Name_V1))
file_l0.write('\n')
file_l0.write('C1 ##### ')
file_l0.write(str(Name_C1))
file_l0.write('\n')
file_l0.write('U2 ##### ')
file_l0.write(str(Name_U2))
file_l0.write('\n')
file_l0.write('V2 ##### ')
file_l0.write(str(Name_V2))
file_l0.write('\n')
file_l0.write('C2 ##### ')
file_l0.write(str(Name_C2))
file_l0.write('\n')
file_l0.write('U3 ##### ')
file_l0.write(str(Name_U3))
file_l0.write('\n')
file_l0.write('V3 ##### ')
file_l0.write(str(Name_V3))
file_l0.write('\n')
file_l0.write('C3 ##### ')
file_l0.write(str(Name_C3))
file_l0.write('\n')
file_l0.flush()
with open(filepath + 'avg_l0_value.txt', "a+") as file_l0:
file_l0.write('X ##### ')
file_l0.write(str(L1_X))
file_l0.write('\n')
file_l0.write('Y ##### ')
file_l0.write(str(L1_Y))
file_l0.write('\n')
file_l0.write('U0 ##### ')
file_l0.write(str(L1_U0))
file_l0.write('\n')
file_l0.write('V0 ##### ')
file_l0.write(str(L1_V0))
file_l0.write('\n')
file_l0.write('C0 ##### ')
file_l0.write(str(L1_C0))
file_l0.write('\n')
file_l0.write('U1 ##### ')
file_l0.write(str(L1_U1))
file_l0.write('\n')
file_l0.write('V1 ##### ')
file_l0.write(str(L1_V1))
file_l0.write('\n')
file_l0.write('C1 ##### ')
file_l0.write(str(L1_C1))
file_l0.write('\n')
file_l0.write('U2 ##### ')
file_l0.write(str(L1_U2))
file_l0.write('\n')
file_l0.write('V2 ##### ')
file_l0.write(str(L1_V2))
file_l0.write('\n')
file_l0.write('C2 ##### ')
file_l0.write(str(L1_C2))
file_l0.write('\n')
file_l0.write('U3 ##### ')
file_l0.write(str(L1_U3))
file_l0.write('\n')
file_l0.write('V3 ##### ')
file_l0.write(str(L1_V3))
file_l0.write('\n')
file_l0.write('C3 ##### ')
file_l0.write(str(L1_C3))
file_l0.write('\n')
file_l0.flush()
if __name__ == '__main__':
filepath = '/mnt/ssd1/XJY/MDCSC/src/debug/split_1/qloss_cu_mmcsc_n3_d8/test_metrics/'
write_new_txt_for_visualize_l0(filepath)