安装依赖
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$ python -m pip install --upgrade pip --user $ python -m pip install Pillow --user $ python -m pip install Numpy --user $ python -m pip install OpenCV-Python --user |
源代码：
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#!/usr/bin/python # -*- coding: UTF-8 -*- import os import sys if sys.version_info < (3, 0): import Tkinter as tk # 导入 Tkinter 库 from tkFileDialog import askopenfilename, askdirectory else : import tkinter as tk # 导入 Tkinter 库 from tkinter.filedialog import askopenfilename, askdirectory from PIL import Image, ImageTk, ImageDraw from time import sleep import numpy as np import cv2 as cv import collections DEF_WIDTH = 1080 DEF_HEIGHT = 720 IMAGE_HEIGHT = 720 FRAME_LEFT_WIDTH = 360 # 太小的选定区域我们需要丢弃，防止误操作 MINI_RECT_AREA = 20 class RawImageEditor: def __init__(self, win, img, rects): #变量X和Y用来记录鼠标左键按下的位置 self.X = tk.IntVar(value=0) self.Y = tk.IntVar(value=0) self.sel = False self.lastDraw = None self.lastDraws = [] self.imageScale = 1.0 self.dispWidth = DEF_WIDTH # 图片显示区域的最大高度，宽度 self.dispHeight = DEF_HEIGHT self.rawImage = img self.calcImageScale(self.rawImage) self.dispWidth = int(self.imageScale * self.rawImage.width) self.dispHeight = int(self.imageScale * self.rawImage.height) # 图片缩放 self.dispImage = self.rawImage.resize((self.dispWidth, self.dispHeight)) # 选择区域 self.selPositions = [] for r in rects : self.selPositions.append((r[0] * self.imageScale, r[1] * self.imageScale, r[2] * self.imageScale, r[3] * self.imageScale)) #创建顶级组件容器 self.top = tk.Toplevel(win, width=self.dispWidth, height=self.dispHeight) #不显示最大化、最小化按钮 self.top.overrideredirect(True) #center window on desktop nScreenWid, nScreenHei = self.top.maxsize() winPos = '%sx%s+%s+%s' % (int(self.top.winfo_reqwidth()), int(self.top.winfo_reqheight()), int((nScreenWid - self.top.winfo_reqwidth())/2), int((nScreenHei - self.top.winfo_reqheight())/2)) self.top.geometry(winPos) # Make topLevelWindow remain on top until destroyed, or attribute changes. self.top.attributes('-topmost', 'true') self.canvas = tk.Canvas(self.top, bg='white', width=self.dispWidth, height=self.dispHeight) self.tkImage = ImageTk.PhotoImage(self.dispImage) self.canvas.create_image(self.dispWidth//2, self.dispHeight//2, image=self.tkImage) for r in self.selPositions : draw = self.canvas.create_rectangle(r[0], r[1], r[2], r[3], outline='green') self.lastDraws.append(draw) #鼠标左键按下的位置 def onLeftButtonDown(event): self.X.set(event.x) self.Y.set(event.y) #开始截图 self.sel = True #重新绘制已经选择的区域 for draw in self.lastDraws : self.canvas.delete(draw) self.lastDraws = [] for r in self.selPositions : draw = self.canvas.create_rectangle(r[0], r[1], r[2], r[3], outline='green') self.lastDraws.append(draw) self.canvas.bind('<Button-1>', onLeftButtonDown) #鼠标左键移动，显示选取的区域 def onLeftButtonMove(event): if not self.sel: return try: #删除刚画完的图形，要不然鼠标移动的时候是黑乎乎的一片矩形 self.canvas.delete(self.lastDraw) except Exception as e: pass self.lastDraw = self.canvas.create_rectangle(self.X.get(), self.Y.get(), event.x, event.y, outline='green') self.canvas.bind('<B1-Motion>', onLeftButtonMove) #获取鼠标左键抬起的位置，保存区域截图 def onLeftButtonUp(event): if not self.sel: return self.sel = False sleep(0.1) #考虑鼠标左键从右下方按下而从左上方抬起的截图 left, right = sorted([self.X.get(), event.x]) top, bottom = sorted([self.Y.get(), event.y]) if (right - left) * (bottom - top) > MINI_RECT_AREA : self.selPositions.append((left,top,right,bottom)) #self.top.destroy() #鼠标右键按下 def onRightButtonDown(event): self.sel = False self.top.destroy() self.canvas.bind('<Button-2>', onRightButtonDown) self.canvas.bind('<ButtonRelease-1>', onLeftButtonUp) self.canvas.pack(fill=tk.BOTH, expand=tk.YES) def calcImageScale(self, image) : w = image.width h = image.height self.imageScale = 1.0 # 计算最小的缩放比例，保证原始宽高比 if w > self.dispWidth and h > self.dispHeight : ws = self.dispWidth * 1.0 / w hs = self.dispHeight * 1.0 / h if ws < hs : self.imageScale = ws else : self.imageScale = hs elif w > self.dispWidth and h < self.dispHeight : self.imageScale = self.dispWidth * 1.0 / w elif w < self.dispWidth and h > self.dispHeight : self.imageScale = self.dispHeight * 1.0 / h def waitForWindow(self, win) : win.wait_window(self.top) def selectedPositions(self) : # 转换为原始像素位置 realPos = [] for r in self.selPositions : realPos.append((r[0] / self.imageScale, r[1] / self.imageScale, r[2] / self.imageScale, r[3] / self.imageScale)) return realPos class MainWin(tk.Tk): def __init__(self): if sys.version_info >= (3, 0): super().__init__() else : tk.Tk.__init__(self) self.title('图像处理工具') self.geometry('{}x{}'.format(DEF_WIDTH, DEF_HEIGHT)) self.rawImagePath = '' self.rawImage = None # self.rawImage 原始图像，未经过缩放处理 self.transRawImage = None # self.transRawImage 经过转换处理之后的原始图像，没有经过缩放处理 self.dispImage = None # self.dispImage 显示图像，可能经过缩放处理 self.imageScale = 1.0 # 图片缩放比例，根据缩放比例进行显示的时候的缩放处理，后期选择区域的时候，需要进行缩放还原 self.leftFrameWidth = FRAME_LEFT_WIDTH self.frameDispHeight = DEF_HEIGHT # 整个窗口的高度 self.labelTextHeight = 18 # 文本标签的高度 self.btnHeight = 30 # 按钮的高度 self.brightnessScale = tk.StringVar() # 亮度比 self.brightnessScale.set('1.0') self.defSavePath = '' # 默认保存路径 self.imageDispWidth = IMAGE_HEIGHT # 图片显示区域的最大高度，宽度 self.imageDispHeight = self.frameDispHeight / 2 - self.labelTextHeight * 2 self.liRect = collections.OrderedDict() # 选择区域 self.rawImageEditor = None self.currentListBoxSelIdx = None #当前选择的项目 self.setupUI() def scaleDisplayImage(self, image) : w = image.width h = image.height self.imageScale = 1.0 # 计算最小的缩放比例，保证原始宽高比 if w > self.imageDispWidth and h > self.imageDispHeight : ws = self.imageDispWidth * 1.0 / w hs = self.imageDispHeight * 1.0 / h if ws < hs : self.imageScale = ws else : self.imageScale = hs elif w > self.imageDispWidth and h < self.imageDispHeight : self.imageScale = self.imageDispWidth * 1.0 / w elif w < self.imageDispWidth and h > self.imageDispHeight : self.imageScale = self.imageDispHeight * 1.0 / h # 图片缩放 return image.resize((int(self.imageScale * w), int(self.imageScale * h))) def loadImageCfgFile(self, imf): (path, name) = os.path.split(imf) cfgname = imf + '.txt' if (not os.path.exists(cfgname)) or (not os.path.isfile(cfgname)) : cfgname = os.path.join(path, 'mask', name) + '.txt' if (not os.path.exists(cfgname)) or (not os.path.isfile(cfgname)) : cfgname = os.path.join(path, 'cfg', name) + '.txt' self.liRect.clear() if os.path.exists(cfgname) and os.path.isfile(cfgname) : with open(cfgname, "r") as f: lines = f.readlines() for line in lines: rs = line.split(',') r = (float(rs[0].strip()), float(rs[1].strip()), float(rs[2].strip()), float(rs[3].strip())) if len(rs) > 4 : self.liRect[r] = rs[4].strip() else : self.liRect[r] = '' # 打开图片时使用，传值（图）给展示函数 def openAndDisplayImage(self): imF = self.selectImageFile() if '' != imF : self.rawImagePath = imF self.loadImageCfgFile(self.rawImagePath) self.drawListBox() self.rawImage = Image.open(self.rawImagePath) self.rawImage = self.rawImage.convert('RGBA') self.drawRawImageDisp() self.image_l_trans.image = None self.transRawImage = None def drawListBox(self): self.l_box.delete(0, tk.END) for r in self.liRect.keys(): r = '{},{},{},{}'.format(round(r[0],1), round(r[1],1), round(r[2],1), round(r[3],1)) self.l_box.insert(0, r) def drawRawImageDisp(self, selItems=[]): self.dispImage = self.scaleDisplayImage(self.rawImage) self.dispImage = self.dispImage.convert('RGB') draw = ImageDraw.Draw(self.dispImage) rs = list(self.liRect.keys()) for i in range(len(rs)) : r = rs[i] if i in selItems : draw.rectangle((r[0] * self.imageScale, r[1] * self.imageScale, r[2] * self.imageScale, r[3] * self.imageScale), outline = "red") else : draw.rectangle((r[0] * self.imageScale, r[1] * self.imageScale, r[2] * self.imageScale, r[3] * self.imageScale), outline = "green") img = ImageTk.PhotoImage(self.dispImage) self.image_l_raw.config(image=img) self.image_l_raw.image = img def deleteSelectedItemFromListBox(self): #print(self.l_box.get(self.l_box.curselection())) idx = self.l_box.curselection() if len(idx) > 0 and (None == self.rawImageEditor) : ro = collections.OrderedDict() rs = self.liRect.keys() for i in range(len(rs)) : if i not in idx : r = rs[i] ro[r] = self.liRect[r] self.liRect = ro self.drawListBox() self.drawRawImageDisp() # 打开图片时使用，获得地址 def selectImageFile(self): path = tk.StringVar() file_entry = tk.Entry(self, state='readonly', text=path) path_ = askopenfilename() path.set(path_) return file_entry.get() def rawImageLabelClicked(self, event): if (None != self.rawImage) and (None == self.rawImageEditor) : self.rawImageEditor = RawImageEditor(self, self.rawImage, self.liRect.keys()) self.rawImageEditor.waitForWindow(self.image_l_raw) rs = self.rawImageEditor.selectedPositions() trs = collections.OrderedDict() for k in rs : if k in self.liRect : trs[k] = self.liRect[k] else: trs[k] = '' self.liRect = trs self.rawImageEditor = None self.drawListBox() self.drawRawImageDisp() def onRectListboxSelect(self, event): idx = self.l_box.curselection() if len(idx) > 0 and (self.currentListBoxSelIdx != idx) : self.currentListBoxSelIdx = idx ctx = '' rs = list(self.liRect.keys()) for i in range(len(self.currentListBoxSelIdx)) : v = self.currentListBoxSelIdx[i] k = rs[v] ctx = ctx + self.liRect[k] if i < len(self.currentListBoxSelIdx)-1 : ctx = ctx + ',' self.edtListBoxSel.delete(0, tk.END) self.edtListBoxSel.insert(0, ctx) self.drawRawImageDisp(idx) def onEdtListBoxComplete(self, event): idx = self.l_box.curselection() if (len(idx) > 0) and (self.currentListBoxSelIdx == idx) : ctx = self.edtListBoxSel.get().strip() ctx = ctx.split(',') while len(idx) > len(ctx) : ctx.append('') rs = list(self.liRect.keys()) n = 0 for i in idx : r = rs[i] self.liRect[r] = ctx[n] n = n + 1 def drawTransImageDisp(self): transImage = self.scaleDisplayImage(self.transRawImage) transImage = transImage.convert('L') img = ImageTk.PhotoImage(transImage) self.image_l_trans.config(image=img) self.image_l_trans.image = img def doTransRawImage(self): self.transRawImage = Image.new('L', (self.rawImage.width, self.rawImage.height)) rs = self.liRect.keys() for r in rs : im = self.rawImage.crop(r) cv_im = cv.cvtColor(np.asarray(im), cv.COLOR_RGB2BGR) hsv = cv.cvtColor(cv_im, cv.COLOR_BGR2HSV) _, _, v = cv.split(hsv) avg = np.average(v.flatten()) pixels = im.load() scale = float(self.brightnessScale.get()) for j in range(im.height) : for i in range(im.width) : hv = v[j,i] if hv < avg * scale: #im.putpixel((i, j), 0) # pixels[i, j] = 0 '''else : im.putpixel((i, j), (255, 255, 255, 255))''' self.transRawImage.paste(im, (int(r[0]),int(r[1])), mask = None) self.drawTransImageDisp() def onTransRawImageBtnClicked(self): if None != self.rawImage : self.doTransRawImage() def saveTransCfg(self, pth): (path,name) = os.path.split(self.rawImagePath) cfg = os.path.join(pth, 'cfg') if os.path.exists(cfg) and os.path.isdir(cfg) : cfgname = os.path.join(cfg, name) + '.txt' else : cfgname = os.path.join(pth, name) + '.txt' with open(cfgname, "w") as f: for r in self.liRect.keys() : v = self.liRect[r] line = '{},{},{},{},{}\n'.format(r[0], r[1], r[2], r[3], v) f.write(line) def saveCombinedImage(self, pth): im_A = cv.cvtColor(np.array(self.rawImage), cv.COLOR_RGB2BGR) im_B = cv.cvtColor(np.array(self.transRawImage), cv.COLOR_RGB2BGR) im_AB = np.concatenate([im_A, im_B], 1) ext = os.path.splitext(self.rawImagePath)[-1] ext = ext.lower() name = os.path.basename(self.rawImagePath) sp = name.split('.')[:-1] comb = os.path.join(pth, 'comb') if os.path.exists(comb) and os.path.isdir(comb) : name = sp[0] + ext pth = comb else : name = sp[0] + '_comb' + ext path_AB = os.path.join(pth, name) cv.imwrite(path_AB, im_AB) def saveTransImage(self, path): ext = os.path.splitext(self.rawImagePath)[-1] ext = ext.lower() (path,name) = os.path.split(self.rawImagePath) mask = os.path.join(path, 'mask') fn = name.split('.')[:-1] if os.path.exists(mask) and os.path.isdir(mask) : fn = fn[0] + ext else : fn = fn[0] + '_mask' + ext im = os.path.join(mask, fn) if not im.endswith(ext) : im = im + ext self.transRawImage.save(im) def saveTransInformation(self, path): if '' != path : self.saveTransImage(path) self.saveTransCfg(path) self.saveCombinedImage(path) def onSaveTransRawImageBtnClicked(self): if None != self.transRawImage : (path,name) = os.path.split(self.rawImagePath) dirname = askdirectory(initialdir = os.path.expanduser(path), title = '保存结果') if '' != dirname : self.defSavePath = dirname self.saveTransInformation(self.defSavePath) def onDefaultSaveTransRawImageBtnClicked(self) : if (None != self.transRawImage) and ('' != self.defSavePath) : self.saveTransInformation(self.defSavePath) def setupUI(self): # 左边菜单栏 left_f = tk.Frame(self, height=self.frameDispHeight, width=self.leftFrameWidth) left_f.pack(side=tk.LEFT) # 各种功能按钮名称及位置 btnOpen = tk.Button(left_f, text='打开图像', command=self.openAndDisplayImage) btnOpen.place(y=25, x=30, width=300, height=self.btnHeight) btnTrans = tk.Button(left_f, text='处理图像', command=self.onTransRawImageBtnClicked) btnTrans.place(y=75, x=30, width=300, height=self.btnHeight) l_selRect = tk.Label(left_f, text = '鼠标选定区域') l_selRect.place(x=0, y=125, width=self.leftFrameWidth, height=self.labelTextHeight) '''列表''' self.l_box = tk.Listbox(left_f, exportselection=False) # 创建两个列表组件 self.l_box.place(x=1, y=125+self.labelTextHeight, width=self.leftFrameWidth-2, height=270) self.l_box.bind('<<ListboxSelect>>', self.onRectListboxSelect) self.drawListBox() # 选中列表注释 ledt = tk.Label(left_f, text = '选中区域内容注释（回车结束）：', anchor = 'w') ledt.place(x=1, y=420, width=self.leftFrameWidth-2) self.edtListBoxSel = tk.Entry(left_f) self.edtListBoxSel.place(x=1, y=440, width=self.leftFrameWidth-2) self.edtListBoxSel.bind('<Return>', self.onEdtListBoxComplete) # 亮度比例调节 tkScale = tk.Scale(left_f, from_=0.2, to=1.8, orient=tk.HORIZONTAL, resolution=0.1, length=self.leftFrameWidth-2, variable=self.brightnessScale, label = '亮度比:') tkScale.place(x=1, y=480) # 删除选定项 btnDel = tk.Button(left_f, text='删除选定项', command=self.deleteSelectedItemFromListBox) btnDel.place(y=550, x=30, width=300, height=self.btnHeight) btnSave = tk.Button(left_f, text='保存结果', command=self.onSaveTransRawImageBtnClicked) btnSave.place(y=600, x=30, width=300, height=self.btnHeight) btnDefSave = tk.Button(left_f, text='默认或上次位置保存', command=self.onDefaultSaveTransRawImageBtnClicked) btnDefSave.place(y=650, x=30, width=300, height=self.btnHeight) # 右侧图像显示栏 right_f = tk.Frame(self, height=self.frameDispHeight, width=self.imageDispWidth) right_f.pack(side=tk.RIGHT) l_rawT = tk.Label(right_f, text = '原始图片') l_rawT.place(x=0, y=0, width=self.imageDispWidth, height=self.labelTextHeight) self.image_l_raw = tk.Label(right_f, relief='ridge') self.image_l_raw.place(x=0, y=self.labelTextHeight, width=self.imageDispWidth, height=self.imageDispHeight) self.image_l_raw.bind("<Button-1>",self.rawImageLabelClicked) l_transT = tk.Label(right_f, text = '处理后图片') l_transT.place(x=0, y=self.labelTextHeight + self.imageDispHeight, width=self.imageDispWidth, height=self.labelTextHeight) self.image_l_trans = tk.Label(right_f, relief='ridge') self.image_l_trans.place(x=0, y=self.labelTextHeight + self.imageDispHeight + self.labelTextHeight, width=self.imageDispWidth, height=self.imageDispHeight) if __name__ == '__main__' : win = MainWin() # 进入消息循环 win.mainloop() |
参考链接
- python，一个入门级极简单的图像处理工具（一）
- python，一个入门级极简单的图像处理工具（二）
- Python tkinter 实现本地打开图片进行标注
- Python tkinter Canvas画布完全攻略（超级详细）
- 用python实现选择截图区域
- Python GUI编程(Tkinter)
- Python OpenCV实现鼠标画框
- 用python实现选择截图区域
- OpenCV-Python 选择ROI
- python3.6+opencv3.4实现鼠标交互查看图片像素
- Tkinter Toplevel always in front
- TypeError: __str__ returned non-string (type instance)
- Python Canvas.create_image Examples
- Tkinter tkFileDialog module
- python 调用super()初始化报错“TypeError: super() takes at least 1 argument”
- python – 使用PIL中的Image.point()方法来操作像素数据
- Using the Image.point() method in PIL to manipulate pixel data
- Pixel to pixel edit using PIL and Image.point
- PixelAccess Class
- python tkinter界面居中显示的方法
- MAC 系统中，Tkinter 无法用 中文输入法 输入中文
- macOS下Python的tkinter库Entry输入框无法输入中文问题的原因及解决办法
- IDLE and tkinter with Tcl/Tk on macOS
你好 为什么点击处理之后 下面显示的图象是黑色的鸭
另外我有相关问题想请教您 能加我的qq吗 有偿953800561
实在弄不明白了 若能帮助万分感谢
参考 doTransRawImage 部分的代码 代码的逻辑是计算HSV亮度均值，低于均值部分的填充成黑色，具体业务需求，根据自己实际要求逐个像素修改即可。
你好 还有个问题想问一下
生成坐标使用的event.X，event.Y还是canvas的create_rectangle函数生成的r[0]，r[1]，r[2]，r[3]啊
没看懂那个地方
谢谢你啦
event.X，event.Y 是鼠标按下时候在窗口上X，Y位置坐标，这个坐标是鼠标在canvas上移动的坐标。
但是我们设置canvas窗口的时候，要求图片跟窗口大小相同，位置相同。
因此 canvas的坐标 刚刚好对应相同的图片坐标，这是一个小技巧。
很抱歉 我没理解 还想问您一下
event XY是用来获取鼠标点击和释放的两个坐标？
那canvas的create_rectangle函数生成的r[0]，r[1]，r[2]，r[3]是用来是干什么的呢
还有一个小问题不知道能问一下吗 我的系统就是按照像素为单位做的 也就是显示框跟图片都是512px，那还需要进行计算缩放比例什么的吗
问您好几次啦 真是不好意思 谢谢你
onLeftButtonDown 中的 event XY 是鼠标按下时候的坐标
onLeftButtonUp 中的event XY 是鼠标松开时候的坐标
create_rectangle 是画矩形选中框的，你可以试试注释掉这个，会发现选择时候的框框没有跟随鼠标的移动变化，r[0]，r[1] 是矩形框的左上角坐标， r[2]，r[3] 是矩形框的右下角坐标。
缩放比例的目的是由于显示的图片跟预览图片的大小是不同的导致的，我这边选择的时候图片是铺满屏幕的，但是预览图片很小，图片缩小之后，记录的选择区域的位置需要同步算缩放比例，否则没办法在正确的位置画出来。
我明白了
非常谢谢您
祝您工作顺利