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How to use flake method in prospector
Best Python code snippet using prospector_python
template_matching_batch.py
Source:template_matching_batch.py 
1#!/usr/bin/env python32# -*- coding: utf-8 -*-3"""4Created on Tue Sep 15 12:21:25 20205@author: ranjana6"""7# 1st import the package and check its version8import MTM9print("MTM version : ", MTM.__version__)10from MTM import matchTemplates, drawBoxesOnRGB11import cv212from skimage import io13import matplotlib.pyplot as plt14import numpy as np15import pandas as pd16from MTM.NMS import NMS17import os18from tqdm import tqdm19import glob20#files1= glob.glob('D:\\video_template\\temp\\*.jpg')########### path for all template21files1= glob.glob('./temp_store3/*.jpg')22#files= glob.glob('D:\\video_template\\image\\*.jpg')############## path for all images folder from video23files= glob.glob('./PMI_S3_15-09-2020-2/*.jpg')24path = './plot_15sep_1/'25total=pd.DataFrame()26#total1=pd.DataFrame() 27batch_size=10028total=pd.DataFrame()29total1=pd.DataFrame()30for n in range((len(files)//batch_size)+1):31 for file in tqdm(files[n*batch_size:(n+1)*batch_size]):32 #for file in files:33 image = io.imread(file,0)########## reading image34 #image = image[ 16:500, 165:500] ################crop the image35 image = image[ 0:350, 110:300] ###################### for store336 #plt.imshow(image)37 name1=file.split("/")[-1]38 name1=name1.split(".")[0]39 listTemplate = []40 for myfile in files1:41 temp0=io.imread(myfile)###########reading template42 name=myfile.split("/")[-1]43 name=name.split(".")[0]44 if name == "Stellar_var1": 45 name = "Stellar"46 if ((name == "Marlboro_gold_var1") or (name == "Marlboro_gold_var2")):47 name = "Marlboro_gold"48 if name== "Marlboro_fusebeyond_var1":49 name = "Marlboro_fusebeyond"50 if name == "Stellar_define_var1":51 name ="Stellar_define"52 if name =="clove_mix_var1":53 name = "clove_mix"54 if name =="Wills_navycut_var1":55 name = "Wills_navycut"56 if ((name =="Berkeley_var1") or (name =="Berkeley_var2") or57 (name =="Berkeley_var3")):58 name = "Berkeley"59 if ((name =="Mini_Light_var1") or (name =="Mini_Light_var2") or60 (name =="Mini_Light_var3")):61 name = "Mini_Light"62 63 if ((name =="Marlboro_compact_var1") or (name =="Marlboro_compact_var2") or64 (name =="Marlboro_compact_var3") or (name =="Marlboro_compact_var4")):65 name = "Marlboro_compact"66 if ((name =="Flake_premium_var1") or(name =="Flake_premium_var2") or67 (name == "Flake_premium_var3")):68 name="Flake_premium"69 if ((name =="GoldFlake_Luxury King_var1") or(name =="GoldFlake_Luxury King_var2") or70 (name == "GoldFlake_Luxury King_var4")):71 name = "GoldFlake_Luxury King"72 if ((name== "B&H_var1") or(name=="B&H_var2") or73 (name== "B&H_var3") or (name== "B&H_var4") or74 (name== "B&H_var5") or (name== "B&H_var6") or75 (name == "B&H_var7")):76 name = "B&H"77 if ((name== "Marlboro_adv_var1") or(name=="Marlboro_adv_var2") or78 (name== "Marlboro_adv_var3") or (name== "Marlboro_adv_var4") or79 (name== "Marlboro_adv_var5") or (name== "Marlboro_adv_var6")):80 name = "Marlboro_adv"81 if ((name== "Classic_mild_var1") or(name=="Classic_mild_var2") or82 (name== "Classic_mild_var3") or (name== "Classic_mild_var4") or83 (name== "Classic_mild_var5") or (name== "Classic_mild_var6")):84 name = "Classic_mild"85 if ((name== "Classic_menthol_var1") or(name=="Classic_menthol_var2") or86 (name== "Classic_menthol_var3") or (name== "Classic_menthol_var4") or87 (name== "Classic_menthol_var5") or (name== "Classic_menthol_var6")):88 name = "Classic_menthol"89 if ((name== "Classic_iceburst_var1") or(name=="Classic_iceburst_var2") or90 (name== "Classic_iceburst_var3") or (name== "Classic_iceburst_var4")):91 name = "Classic_iceburst"92 if ((name== "Classic_ultramild_var1") or(name=="Classic_ultramild_var2") or93 (name== "Classic_ultramild_var3") or (name== "Classic_ultramild_var4") or94 (name== "Classic_ultramild_var5") or (name== "Classic_ultramild_var6") or95 (name== "Classic_ultramild_var7") or (name== "Classic_ultramild_var8") or96 (name== "Classic_ultramild_var9") or (name== "Classic_ultramild_var10")):97 name = "Classic_ultramild"98 if ((name== "Classic_regular_var1") or(name=="Classic_regular_var2") or99 (name== "Classic_regular_var3") or (name== "Classic_regular_var4") or100 (name== "Classic_regular_var5")):101 name = "Classic_regular"102 if ((name== "GoldFlake_King_var1") or(name=="GoldFlake_King_var2") or103 (name== "GoldFlake_King_var3") or (name== "GoldFlake_King_var4") or104 (name== "GoldFlake_King_var5") or (name== "GoldFlake_King_var6") or105 (name== "GoldFlake_King_var7") or (name== "GoldFlake_King_var8") or106 (name == "GoldFlake_King_var9") or (name == "GoldFlake_King_var10")or 107 (name == "GoldFlake_King_var11") or (name == "GoldFlake_King_var12")or 108 (name == "GoldFlake_King_var13") or (name == "GoldFlake_King_var14") or109 (name == "GoldFlake_King_var15") or (name == "GoldFlake_King_var16") or110 (name == "GoldFlake_King_var17") or (name == "GoldFlake_King_var18")or111 (name == "GoldFlake_King_var19") or (name == "GoldFlake_King_var20") or112 (name == "GoldFlake_King_var21") or (name == "GoldFlake_King_var22") or113 (name == "GoldFlake_King_var23") or (name == "GoldFlake_King_var24") or114 (name == "GoldFlake_King_var25") or (name == "GoldFlake_King_var26")or115 (name == "GoldFlake_King_var27") or (name == "GoldFlake_King_var28") or116 (name == "GoldFlake_King_var29") or (name == "GoldFlake_King_var30") or117 (name == "GoldFlake_King_var31") or (name == "GoldFlake_King_var32") or118 (name == "GoldFlake_King_var33") or (name == "GoldFlake_King_var34")):119 name="GoldFlake_King"120 if ((name== "King_Light_var1") or(name=="King_Light_var2") or121 (name== "King_Light_var3") or (name== "King_Light_var4") or122 (name== "King_Light_var5") or (name== "King_Light_var6") or123 (name== "King_Light_var7") or (name== "King_Light_var8") or124 (name == "King_Light_var9") or (name == "King_Light_var10") or125 (name == "King_Light_var11") or (name == "King_Light_var12") or126 (name == "King_Light_var13") or (name == "King_Light_var14") or127 (name == "King_Light_var15") or (name == "King_Light_var16")):128 name="King_Light"129 #print("name of box",name)130 listTemplate.append( (name, temp0)) 131 for myfile in files1:132 temp0=io.imread(myfile)133 name=myfile.split("/")[-1]134 name=name.split(".")[0]135 if name == "Stellar_var1": 136 name = "Stellar"137 if ((name == "Marlboro_gold_var1") or (name == "Marlboro_gold_var2")):138 name = "Marlboro_gold"139 if name== "Marlboro_fusebeyond_var1":140 name = "Marlboro_fusebeyond"141 if name == "Stellar_define_var1":142 name ="Stellar_define"143 if name =="clove_mix_var1":144 name = "clove_mix"145 if name =="Wills_navycut_var1":146 name = "Wills_navycut"147 if ((name =="Berkeley_var1") or (name =="Berkeley_var2") or148 (name =="Berkeley_var3")):149 name = "Berkeley"150 if ((name =="Mini_Light_var1") or (name =="Mini_Light_var2") or151 (name =="Mini_Light_var3")):152 name = "Mini_Light"153 154 if ((name =="Marlboro_compact_var1") or (name =="Marlboro_compact_var2") or155 (name =="Marlboro_compact_var3") or (name =="Marlboro_compact_var4")):156 name = "Marlboro_compact"157 if ((name =="Flake_premium_var1") or(name =="Flake_premium_var2") or158 (name == "Flake_premium_var3")):159 name="Flake_premium"160 if ((name =="GoldFlake_Luxury King_var1") or(name =="GoldFlake_Luxury King_var2") or161 (name == "GoldFlake_Luxury King_var4")):162 name = "GoldFlake_Luxury King"163 if ((name== "B&H_var1") or(name=="B&H_var2") or164 (name== "B&H_var3") or (name== "B&H_var4") or165 (name== "B&H_var5") or (name== "B&H_var6") or166 (name == "B&H_var7")):167 name = "B&H"168 if ((name== "Marlboro_adv_var1") or(name=="Marlboro_adv_var2") or169 (name== "Marlboro_adv_var3") or (name== "Marlboro_adv_var4") or170 (name== "Marlboro_adv_var5") or (name== "Marlboro_adv_var6")):171 name = "Marlboro_adv"172 if ((name== "Classic_mild_var1") or(name=="Classic_mild_var2") or173 (name== "Classic_mild_var3") or (name== "Classic_mild_var4") or174 (name== "Classic_mild_var5") or (name== "Classic_mild_var6")):175 name = "Classic_mild"176 if ((name== "Classic_menthol_var1") or(name=="Classic_menthol_var2") or177 (name== "Classic_menthol_var3") or (name== "Classic_menthol_var4") or178 (name== "Classic_menthol_var5") or (name== "Classic_menthol_var6")):179 name = "Classic_menthol"180 if ((name== "Classic_iceburst_var1") or(name=="Classic_iceburst_var2") or181 (name== "Classic_iceburst_var3") or (name== "Classic_iceburst_var4")):182 name = "Classic_iceburst"183 if ((name== "Classic_ultramild_var1") or(name=="Classic_ultramild_var2") or184 (name== "Classic_ultramild_var3") or (name== "Classic_ultramild_var4") or185 (name== "Classic_ultramild_var5") or (name== "Classic_ultramild_var6") or186 (name== "Classic_ultramild_var7") or (name== "Classic_ultramild_var8") or187 (name== "Classic_ultramild_var9") or (name== "Classic_ultramild_var10")):188 name = "Classic_ultramild"189 if ((name== "Classic_regular_var1") or(name=="Classic_regular_var2") or190 (name== "Classic_regular_var3") or (name== "Classic_regular_var4") or191 (name== "Classic_regular_var5")):192 name = "Classic_regular"193 if ((name== "GoldFlake_King_var1") or(name=="GoldFlake_King_var2") or194 (name== "GoldFlake_King_var3") or (name== "GoldFlake_King_var4") or195 (name== "GoldFlake_King_var5") or (name== "GoldFlake_King_var6") or196 (name== "GoldFlake_King_var7") or (name== "GoldFlake_King_var8") or197 (name == "GoldFlake_King_var9") or (name == "GoldFlake_King_var10")or 198 (name == "GoldFlake_King_var11") or (name == "GoldFlake_King_var12")or 199 (name == "GoldFlake_King_var13") or (name == "GoldFlake_King_var14") or200 (name == "GoldFlake_King_var15") or (name == "GoldFlake_King_var16") or201 (name == "GoldFlake_King_var17") or (name == "GoldFlake_King_var18")or202 (name == "GoldFlake_King_var19") or (name == "GoldFlake_King_var20") or203 (name == "GoldFlake_King_var21") or (name == "GoldFlake_King_var22") or204 (name == "GoldFlake_King_var23") or (name == "GoldFlake_King_var24") or205 (name == "GoldFlake_King_var25") or (name == "GoldFlake_King_var26")or206 (name == "GoldFlake_King_var27") or (name == "GoldFlake_King_var28") or207 (name == "GoldFlake_King_var29") or (name == "GoldFlake_King_var30") or208 (name == "GoldFlake_King_var31") or (name == "GoldFlake_King_var32") or209 (name == "GoldFlake_King_var33") or (name == "GoldFlake_King_var34")):210 name="GoldFlake_King"211 if ((name== "King_Light_var1") or(name=="King_Light_var2") or212 (name== "King_Light_var3") or (name== "King_Light_var4") or213 (name== "King_Light_var5") or (name== "King_Light_var6") or214 (name== "King_Light_var7") or (name== "King_Light_var8") or215 (name == "King_Light_var9") or (name == "King_Light_var10") or216 (name == "King_Light_var11") or (name == "King_Light_var12") or217 (name == "King_Light_var13") or (name == "King_Light_var14") or218 (name == "King_Light_var15") or (name == "King_Light_var16")):219 name="King_Light"220 #print("name of box",name)221 for i,angle in enumerate([90,180]):222 rotated = np.rot90(temp0, k=i+1) # NB: rotate not good here, turns into float!223 listTemplate.append( (name, rotated ) )224 225 im=image226 #Hits = matchTemplates(listTemplate, im,N_object=34, score_threshold=0.5, method=cv2.TM_CCOEFF_NORMED, maxOverlap=0.25)227 #print(Hits)228 # Generate gaussian distributed noise, the noise intensity is set by the level variable229 noise = np.empty_like(im, dtype="int8")230 level = 10231 cv2.randn(noise,(0),(level)) # Matrix element are 0 in average232 imageNoise = cv2.add(im,noise, dtype=cv2.CV_8U)233 Hits_Noise = matchTemplates(listTemplate, imageNoise,score_threshold=0.75, method=cv2.TM_CCOEFF_NORMED, maxOverlap=0.2,searchBox=None)##########without using N_object234 #Hits_Noise = matchTemplates(listTemplate, imageNoise,N_object=20,score_threshold=0.001, method=cv2.TM_CCOEFF_NORMED, maxOverlap=.08,searchBox=None)235 H=Hits_Noise236 df=Hits_Noise.reset_index()237 w = df["BBox"].str[2]238 h = df["BBox"].str[3]239 df["width"] = round(w * 2.54 / 96,1)240 df["hight"] = round(h * 2.54 / 96,1)241 #score=max(df.Score)242 f1=df.TemplateName.unique()243 br1=df['TemplateName'].value_counts().reset_index()244#df.to_csv("output.csv",index=False)245 df3=pd.DataFrame(columns=["index","TemplateName","BBox","Score","width","hight"])246 for i in range(0,len(br1.TemplateName)):247 df1=df[df.TemplateName ==f1[i]]248 score=round(max(df1.Score),2)249 score1=round((score-0.35),2)250 df2=df1[(df1.Score == score) | (df1.Score >= score1)]251 df3=df3.append(df2)252 df3["name"]=name1253 #df3.to_csv(name1+".csv",index=False)254 255 #Overlay1 = drawBoxesOnRGB(im, finalHits,showLabel=True,labelScale=0.4,labelColor=(0, 255, 255), boxThickness=2)256 Overlay2 = drawBoxesOnRGB(imageNoise,df3,showLabel=True,labelScale=0.3,labelColor=(0, 255, 255), boxThickness=2)###########draw the box on image257 #path=r'D:\video_template\plots'###############path to save image258 # plt.savefig(path+"\\"+name1+'.png')259 plt.figure(figsize = (20,20))260 plt.axis("off")261 plt.imshow(Overlay2)262 plt.savefig(path+"/"+name1+'.png')263 plt.close()264 br=df3[['TemplateName','name']]265 s2=br.pivot_table(index=['name'], columns=['TemplateName'], aggfunc=len).fillna(0).reset_index()266 #br2=br.groupby(["name",'TemplateName']).size().reset_index(name="Time")267 #br2=df3['TemplateName'].value_counts().reset_index()268 #br2.to_csv(name1+"_1.csv",index=False)269 #total1=s_t1.append(br2)270 total=total.append(s2)271 total.to_csv("all"+"_1.csv",index=False)...
SnowFlake_v1.py
Source:SnowFlake_v1.py
...97 iter = iter+0.5 # slightly oversample because I lack faith.9899def perform(level, box, options):100 ''' Feedback to abrightmoore@yahoo.com.au '''101 Snowflake(level, box, options) 102 level.markDirtyBox(box)103 104def Snowflake(level, box, options):105 # CONSTANTS AND GLOBAL VARIABLES106 method = "RIBBON"107 print '%s: Started at %s' % (method, time.ctime())108 (width, height, depth) = getBoxSize(box)109 centreWidth = width / 2110 centreHeight = height / 2111 centreDepth = depth / 2112 material = (options["Material:"].ID, options["Material:"].blockData)113 (blockID, blockData) = material114 Colours = [0, 0, 0,11,3,10, 14,1,4,5]115 # END CONSTANTS116117 # Make a 2D snowflake with 4 lines of symmetry (i.e. 6 equal arcs)118 # So.. do it once, then rotate into position at 45 degrees, then replicate in the other 3 quadrants.
...
01_snowfall.py
Source:01_snowfall.py
...4# - Ñоздание Ñнежинки Ñ Ð½ÑжнÑми паÑамеÑÑами5# - оÑÑабоÑÐºÑ Ð¸Ð·Ð¼ÐµÐ½ÐµÐ½Ð¸Ð¹ кооÑдинаÑ6# - оÑÑиÑовкÑ7# x, y = 0, 08# flake = Snowflake(flake_x=100, flake_y=600, length_flake=sd.random_number(5, 15))9#10# while True:11# for i in range(flake.step_y):12# flake.clear_previous_picture()13# flake.move()14# print("Снежинка Ð¿Ð°Ð´Ð°ÐµÑ Ð½Ð° Ñаге", i)15# flake.draw()16# sd.sleep(0.1)17# if not flake.can_fall():18# break19# sd.sleep(0.1)20#21# if sd.user_want_exit():22# break23class Snowflake:24 def __init__(self, flake_x, flake_y, length_flake):25 self.length = length_flake26 self.y = flake_y27 self.x = flake_x28 self.point = sd.get_point(x=self.x, y=self.y)29 self.color = sd.COLOR_WHITE30 self.factor_a = 0.631 self.factor_b = 0.3532 self.factor_c = 6033 self.step_y = self.y // self.length + 134 def clear_previous_picture(self):35 self.color = sd.background_color36 sd.snowflake(center=self.point, length=self.length, color=self.color, factor_a=self.factor_a,37 factor_b=self.factor_b)38 def move(self):39 self.y -= self.length40 self.point = sd.get_point(x=self.x, y=self.y)41 def draw(self):42 self.color = sd.COLOR_WHITE43 sd.snowflake(center=self.point, length=self.length, color=self.color, factor_a=self.factor_a,44 factor_b=self.factor_b)45 def can_fall(self):46 return self.y <= 047def get_flakes(N): # Создание ÑпиÑка Ñнежинок48 flakes = []49 for i in range(N):50 flake_x = sd.random_number(0, 600)51 flake_y = 65052 flake = Snowflake(flake_x, flake_y, length_flake=sd.random_number(5, 15))53 flakes.append(flake)54 return flakes55def append_flakes(count=None):56 for i in count:57 flake_x = sd.random_number(0, 600)58 flake_y = 65059 flake = Snowflake(flake_x, flake_y, length_flake=sd.random_number(5, 15))60 flakes.insert(i, flake)61 return flakes62def get_fallen_flakes(flakes): # подÑÑÐµÑ ÑпавÑиÑ
Ñнежинок63 fallen_flakes = []64 for index, value in enumerate(flakes):65 if value.can_fall():66 fallen_flakes.append(index)67 return fallen_flakes68def remove_flakes(fallen_flakes):69 fallen_flakes.reverse()70 for index, value in enumerate(fallen_flakes):71 del flakes[value]72N = 5073fallen_flakes = []...
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