狗操的大作业

This commit is contained in:
2024-12-18 18:38:45 +08:00
parent 7d0d76acbb
commit 99dba333c3
44 changed files with 1327 additions and 0 deletions
+154
View File
@@ -0,0 +1,154 @@
import tkinter as tk
from tkinter.filedialog import *
from tkinter import ttk
import tkinter.messagebox as mBox
import predict
import cv2
from PIL import Image, ImageTk
import threading
import time
class Surface(ttk.Frame):
pic_path = ""
viewhigh = 600
viewwide = 600
update_time = 0
thread = None
thread_run = False
camera = None
color_transform = {"green":("绿牌","#55FF55"), "yello":("黄牌","#FFFF00"), "blue":("蓝牌","#6666FF")}
def __init__(self, win):
ttk.Frame.__init__(self, win)
frame_left = ttk.Frame(self)
frame_right1 = ttk.Frame(self)
frame_right2 = ttk.Frame(self)
win.title("车牌识别")
win.state("zoomed")
self.pack(fill=tk.BOTH, expand=tk.YES, padx="5", pady="5")
frame_left.pack(side=tk.LEFT,expand=1,fill=tk.BOTH)
frame_right1.pack(side=tk.TOP,expand=1,fill=tk.Y)
frame_right2.pack(side=tk.RIGHT,expand=0)
ttk.Label(frame_left, text='原图:').pack(anchor="nw")
ttk.Label(frame_right1, text='车牌位置:').grid(column=0, row=0, sticky=tk.W)
from_pic_ctl = ttk.Button(frame_right2, text="来自图片", width=20, command=self.from_pic)
from_vedio_ctl = ttk.Button(frame_right2, text="来自摄像头", width=20, command=self.from_vedio)
self.image_ctl = ttk.Label(frame_left)
self.image_ctl.pack(anchor="nw")
self.roi_ctl = ttk.Label(frame_right1)
self.roi_ctl.grid(column=0, row=1, sticky=tk.W)
ttk.Label(frame_right1, text='识别结果:').grid(column=0, row=2, sticky=tk.W)
self.r_ctl = ttk.Label(frame_right1, text="")
self.r_ctl.grid(column=0, row=3, sticky=tk.W)
self.color_ctl = ttk.Label(frame_right1, text="", width="20")
self.color_ctl.grid(column=0, row=4, sticky=tk.W)
from_vedio_ctl.pack(anchor="se", pady="5")
from_pic_ctl.pack(anchor="se", pady="5")
self.predictor = predict.CardPredictor()
self.predictor.train_svm()
def get_imgtk(self, img_bgr):
img = cv2.cvtColor(img_bgr, cv2.COLOR_BGR2RGB)
im = Image.fromarray(img)
imgtk = ImageTk.PhotoImage(image=im)
wide = imgtk.width()
high = imgtk.height()
if wide > self.viewwide or high > self.viewhigh:
wide_factor = self.viewwide / wide
high_factor = self.viewhigh / high
factor = min(wide_factor, high_factor)
wide = int(wide * factor)
if wide <= 0 : wide = 1
high = int(high * factor)
if high <= 0 : high = 1
im=im.resize((wide, high), Image.LANCZOS) #在pillow的10.0.0版本中,ANTIALIAS方法被删除了,使用新的方法即可:
imgtk = ImageTk.PhotoImage(image=im)
return imgtk
def show_roi(self, r, roi, color):
if r :
roi = cv2.cvtColor(roi, cv2.COLOR_BGR2RGB)
roi = Image.fromarray(roi)
self.imgtk_roi = ImageTk.PhotoImage(image=roi)
self.roi_ctl.configure(image=self.imgtk_roi, state='enable')
self.r_ctl.configure(text=str(r))
self.update_time = time.time()
try:
c = self.color_transform[color]
self.color_ctl.configure(text=c[0], background=c[1], state='enable')
except:
self.color_ctl.configure(state='disabled')
elif self.update_time + 8 < time.time():
self.roi_ctl.configure(state='disabled')
self.r_ctl.configure(text="")
self.color_ctl.configure(state='disabled')
def from_vedio(self):
if self.thread_run:
return
if self.camera is None:
self.camera = cv2.VideoCapture(0)
if not self.camera.isOpened():
mBox.showwarning('警告', '摄像头打开失败!')
self.camera = None
return
self.thread = threading.Thread(target=self.vedio_thread, args=(self,))
self.thread.setDaemon(True)
self.thread.start()
self.thread_run = True
def from_pic(self):
self.thread_run = False
self.pic_path = askopenfilename(title="选择识别图片", filetypes=[("jpg图片", "*.jpg")])
if self.pic_path:
img_bgr = predict.imreadex(self.pic_path)
self.imgtk = self.get_imgtk(img_bgr)
self.image_ctl.configure(image=self.imgtk)
resize_rates = (1, 0.9, 0.8, 0.7, 0.6, 0.5, 0.4)
for resize_rate in resize_rates:
print("resize_rate:", resize_rate)
try:
r, roi, color = self.predictor.predict(img_bgr, resize_rate)
except:
continue
if r:
break
#r, roi, color = self.predictor.predict(img_bgr, 1)
self.show_roi(r, roi, color)
@staticmethod
def vedio_thread(self):
self.thread_run = True
predict_time = time.time()
while self.thread_run:
_, img_bgr = self.camera.read()
self.imgtk = self.get_imgtk(img_bgr)
self.image_ctl.configure(image=self.imgtk)
if time.time() - predict_time > 2:
r, roi, color = self.predictor.predict(img_bgr)
self.show_roi(r, roi, color)
predict_time = time.time()
print("run end")
def close_window():
print("destroy")
if surface.thread_run :
surface.thread_run = False
surface.thread.join(2.0)
win.destroy()
if __name__ == '__main__':
win=tk.Tk()
surface = Surface(win)
win.protocol('WM_DELETE_WINDOW', close_window)
win.mainloop()
Binary file not shown.

After

Width:  |  Height:  |  Size: 2.6 MiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 172 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 455 KiB

+20
View File
@@ -0,0 +1,20 @@
{
"config":[
{
"open":1,
"blur":3,
"morphologyr":4,
"morphologyc":19,
"col_num_limit":10,
"row_num_limit":21
},
{
"open":0,
"blur":3,
"morphologyr":5,
"morphologyc":12,
"col_num_limit":10,
"row_num_limit":18
}
]
}
Binary file not shown.

After

Width:  |  Height:  |  Size: 4.0 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 251 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 270 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 288 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 158 KiB

+402
View File
@@ -0,0 +1,402 @@
label: 0
display_name: "background"
label: 1
display_name: "accordion"
label: 2
display_name: "airplane"
label: 3
display_name: "ant"
label: 4
display_name: "antelope"
label: 5
display_name: "apple"
label: 6
display_name: "armadillo"
label: 7
display_name: "artichoke"
label: 8
display_name: "axe"
label: 9
display_name: "baby_bed"
label: 10
display_name: "backpack"
label: 11
display_name: "bagel"
label: 12
display_name: "balance_beam"
label: 13
display_name: "banana"
label: 14
display_name: "band_aid"
label: 15
display_name: "banjo"
label: 16
display_name: "baseball"
label: 17
display_name: "basketball"
label: 18
display_name: "bathing_cap"
label: 19
display_name: "beaker"
label: 20
display_name: "bear"
label: 21
display_name: "bee"
label: 22
display_name: "bell_pepper"
label: 23
display_name: "bench"
label: 24
display_name: "bicycle"
label: 25
display_name: "binder"
label: 26
display_name: "bird"
label: 27
display_name: "bookshelf"
label: 28
display_name: "bow_tie"
label: 29
display_name: "bow"
label: 30
display_name: "bowl"
label: 31
display_name: "brassiere"
label: 32
display_name: "burrito"
label: 33
display_name: "bus"
label: 34
display_name: "butterfly"
label: 35
display_name: "camel"
label: 36
display_name: "can_opener"
label: 37
display_name: "car"
label: 38
display_name: "cart"
label: 39
display_name: "cattle"
label: 40
display_name: "cello"
label: 41
display_name: "centipede"
label: 42
display_name: "chain_saw"
label: 43
display_name: "chair"
label: 44
display_name: "chime"
label: 45
display_name: "cocktail_shaker"
label: 46
display_name: "coffee_maker"
label: 47
display_name: "computer_keyboard"
label: 48
display_name: "computer_mouse"
label: 49
display_name: "corkscrew"
label: 50
display_name: "cream"
label: 51
display_name: "croquet_ball"
label: 52
display_name: "crutch"
label: 53
display_name: "cucumber"
label: 54
display_name: "cup_or_mug"
label: 55
display_name: "diaper"
label: 56
display_name: "digital_clock"
label: 57
display_name: "dishwasher"
label: 58
display_name: "dog"
label: 59
display_name: "domestic_cat"
label: 60
display_name: "dragonfly"
label: 61
display_name: "drum"
label: 62
display_name: "dumbbell"
label: 63
display_name: "electric_fan"
label: 64
display_name: "elephant"
label: 65
display_name: "face_powder"
label: 66
display_name: "fig"
label: 67
display_name: "filing_cabinet"
label: 68
display_name: "flower_
label: 69
display_name: "fl
label: 70
display_name: "fox"
label: 71
display_name: "french_h
label: 72
display_name: "frog"
label: 73
display_name: "frying_
label: 74
display_name: "giant_pa
label: 75
display_name: "goldfish"
label: 76
display_name: "golf_ball"
label: 77
display_name: "golfcart"
label: 78
display_name: "guacamole"
label: 79
display_name: "guitar"
label: 80
display_name: "hair_dryer"
label: 81
display_name: "hair_spray"
label: 82
display_name: "hamburger"
label: 83
display_name: "hammer"
label: 84
display_name: "hamster"
label: 85
display_name: "harmonica"
label: 86
display_name: "harp"
label: 87
display_name: "hat_with_a_wide_brim"
label: 88
display_name: "head_cabbage"
label: 89
display_name: "helmet"
label: 90
display_name: "hippopotamus"
label: 91
display_name: "horizontal_bar"
label: 92
display_name: "horse"
label: 93
display_name: "hotdog"
label: 94
display_name: "iPod"
label: 95
display_name: "isopod"
label: 96
display_name: "jellyfish"
label: 97
display_name: "koala_bear"
label: 98
display_name: "ladle"
label: 99
display_name: "ladybug"
label: 100
display_name: "lamp"
label: 101
display_name: "laptop"
label: 102
display_name: "lemon"
label: 103
display_name: "lion"
label: 104
display_name: "lipstick"
label: 105
display_name: "lizard"
label: 106
display_name: "lobster"
label: 107
display_name: "maillot"
label: 108
display_name: "maraca"
label: 109
display_name: "microphone"
label: 110
display_name: "microwave"
label: 111
display_name: "milk_can"
label: 112
display_name: "miniskirt"
label: 113
display_name: "monkey"
label: 114
display_name: "motorcycle"
label: 115
display_name: "mushroom"
label: 116
display_name: "nail"
label: 117
display_name: "neck_brace"
label: 118
display_name: "oboe"
label: 119
display_name: "orange"
label: 120
display_name: "otter"
label: 121
display_name: "pencil_box"
label: 122
display_name: "pencil_sharpener"
label: 123
display_name: "perfume"
label: 124
display_name: "person"
label: 125
display_name: "piano"
label: 126
display_name: "pineapple"
label: 127
display_name: "ping-pong_ball"
label: 128
display_name: "pitcher"
label: 129
display_name: "pizza"
label: 130
display_name: "plastic_bag"
label: 131
display_name: "plate_rack"
label: 132
display_name: "pomegranate"
label: 133
display_name: "popsicle"
label: 134
display_name: "porcupine"
label: 135
display_name: "power_drill"
label: 136
display_name: "pretzel"
label: 137
display_name: "printer"
label: 138
display_name: "puck"
label: 139
display_name: "punching_bag"
label: 140
display_name: "purse"
label: 141
display_name: "rabbit"
label: 142
display_name: "racket"
label: 143
display_name: "ray"
label: 144
display_name: "red_panda"
label: 145
display_name: "refrigerator"
label: 146
display_name: "remote_control"
label: 147
display_name: "rubber_eraser"
label: 148
display_name: "rugby_ball"
label: 149
display_name: "ruler"
label: 150
display_name: "salt_or_pepper_shaker"
label: 151
display_name: "saxophone"
label: 152
display_name: "scorpion"
label: 153
display_name: "screwdriver"
label: 154
display_name: "seal"
label: 155
display_name: "sheep"
label: 156
display_name: "ski"
label: 157
display_name: "skunk"
label: 158
display_name: "snail"
label: 159
display_name: "snake"
label: 160
display_name: "snowmobile"
label: 161
display_name: "snowplow"
label: 162
display_name: "soap_dispenser"
label: 163
display_name: "soccer_ball"
label: 164
display_name: "sofa"
label: 165
display_name: "spatula"
label: 166
display_name: "squirrel"
label: 167
display_name: "starfish"
label: 168
display_name: "stethoscope"
label: 169
display_name: "stove"
label: 170
display_name: "strainer"
label: 171
display_name: "strawberry"
label: 172
display_name: "stretcher"
label: 173
display_name: "sunglasses"
label: 174
display_name: "swimming_trunks"
label: 175
display_name: "swine"
label: 176
display_name: "syringe"
label: 177
display_name: "table"
label: 178
display_name: "tape_player"
label: 179
display_name: "tennis_ball"
label: 180
display_name: "tick"
label: 181
display_name: "tie"
label: 182
display_name: "tiger"
label: 183
display_name: "toaster"
label: 184
display_name: "traffic_light"
label: 185
display_name: "train"
label: 186
display_name: "trombone"
label: 187
display_name: "trumpet"
label: 188
display_name: "turtle"
label: 189
display_name: "tv_or_monitor"
label: 190
display_name: "unicycle"
label: 191
display_name: "vacuum"
label: 192
display_name: "violin"
label: 193
display_name: "volleyball"
label: 194
display_name: "waffle_iron"
label: 195
display_name: "washer"
label: 196
display_name: "water_bottle"
label: 197
display_name: "watercraft"
label: 198
display_name: "whale"
label: 199
display_name: "wine_bottle"
label: 200
display_name: "zebra"
Binary file not shown.

After

Width:  |  Height:  |  Size: 42 KiB