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這篇“Python如何實現圖像的二進制與base64互轉”文章的知識點大部分人都不太理解,所以小編給大家總結了以下內容,內容詳細,步驟清晰,具有一定的借鑒價值,希望大家閱讀完這篇文章能有所收獲,下面我們一起來看看這篇“Python如何實現圖像的二進制與base64互轉”文章吧。
def base64_to_image(base64_code): img_data = base64.b64decode(base64_code) img_array = numpy.fromstring(img_data, numpy.uint8) # img_array = np.frombuffer(image_bytes, dtype=np.uint8) #可選 image_base64_dec = cv2.imdecode(img_array, cv2.COLOR_RGB2BGR) return image_base64_dec def image_to_base64(full_path): with open(full_path, "rb") as f: data = f.read() image_base64_enc = base64.b64encode(data) image_base64_enc = str(image_base64_enc, 'utf-8') return image_base64_enc #傳base64 img_bytes = request.json["img_stream"] img_cv = base64_to_image(img_bytes) uuid_str = str(uuid.uuid1()) img_path = uuid_str +".jpg" cv2.imwrite(img_path,img_cv)
import cv2 import base64 def cv2_base64(image): img = cv2.imread(image) binary_str = cv2.imencode('.jpg', img)[1].tostring()#編碼 base64_str = base64.b64encode(binary_str)#解碼 base64_str = base64_str.decode('utf-8') myjson={"bs64":cv2_base64("1.jpg")} print(myjson) return base64_str
import cv2 import base64 def cv2_binary(image): img = cv2.imread(image) binary_str = cv2.imencode('.jpg', img)[1].tostring()#編碼 print(binary_str) # base64_str = base64.b64encode(binary_str)#解碼 # base64_str = base64_str.decode('utf-8') # print(base64_str) return binary_str cv2_binary("1.jpg") # 或者 image_file =r"1.jpg" image_bytes = open(image_file, "rb").read() print(image_bytes)# 二進制數據
# python+OpenCV讀取圖像并轉換為二進制格式文件的代碼 # coding=utf-8 ''' Created on 2016年3月24日 使用Opencv讀取圖像將其保存為二進制格式文件,再讀取該二進制文件,轉換為圖像進行顯示 @author: hanchao ''' import cv2 import numpy as np import struct image = cv2.imread("1.jpg") # imageClone = np.zeros((image.shape[0],image.shape[1],1),np.uint8) # image.shape[0]為rows # image.shape[1]為cols # image.shape[2]為channels # image.shape = (480,640,3) rows = image.shape[0] cols = image.shape[1] channels = image.shape[2] # 把圖像轉換為二進制文件 # python寫二進制文件,f = open('name','wb') # 只有wb才是寫二進制文件 fileSave = open('patch.bin', 'wb') for step in range(0, rows): for step2 in range(0, cols): fileSave.write(image[step, step2, 2]) for step in range(0, rows): for step2 in range(0, cols): fileSave.write(image[step, step2, 1]) for step in range(0, rows): for step2 in range(0, cols): fileSave.write(image[step, step2, 0]) fileSave.close() # 把二進制轉換為圖像并顯示 # python讀取二進制文件,用rb # f.read(n)中n是需要讀取的字節數,讀取后需要進行解碼,使用struct.unpack("B",fileReader.read(1))函數 # 其中“B”為無符號整數,占一個字節,“b”為有符號整數,占1個字節 # “c”為char類型,占一個字節 # “i”為int類型,占四個字節,I為有符號整形,占4個字節 # “h”、“H”為short類型,占四個字節,分別對應有符號、無符號 # “l”、“L”為long類型,占四個字節,分別對應有符號、無符號 fileReader = open('patch.bin', 'rb') imageRead = np.zeros(image.shape, np.uint8) for step in range(0, rows): for step2 in range(0, cols): a = struct.unpack("B", fileReader.read(1)) imageRead[step, step2, 2] = a[0] for step in range(0, rows): for step2 in range(0, cols): a = struct.unpack("b", fileReader.read(1)) imageRead[step, step2, 1] = a[0] for step in range(0, rows): for step2 in range(0, cols): a = struct.unpack("b", fileReader.read(1)) imageRead[step, step2, 0] = a[0] fileReader.close() cv2.imshow("source", image) cv2.imshow("read", imageRead) cv2.imwrite("2.jpg",imageRead) cv2.waitKey(0)
def binary_cv2(bytes): file = open("4.jpg","wb") file.write(bytes) binary_cv2("bytes") #或者 from PIL import Image import io img = Image.open(io.BytesIO("bytes")) img.save("5.jpg")
def base64_cv2(base64code): img_data = base64.b64decode(base64code) file = open("2.jpg","wb") file.write(img_data) file.close() base64_cv2("base64code") ============================================ with open("1.txt","r") as f: img_data = base64.b64decode(f.read()) file = open("3.jpg","wb") file.write(img_data) file.close()
def base64_to_image(base64_code): img_data = base64.b64decode(base64_code) img_array = numpy.fromstring(img_data, numpy.uint8) image_base64_dec = cv2.imdecode(img_array, cv2.COLOR_RGB2BGR) return image_base64_dec #圖像矩陣,需要cv2.imwrite寫入cv2.imwrite("1.jpg",img) def image_to_base64(full_path): with open(full_path, "rb") as f: data = f.read() image_base64_enc = base64.b64encode(data) image_base64_enc = str(image_base64_enc, 'utf-8') return image_base64_enc
def binary_base64(binary): img_stream = base64.b64encode(binary) bs64 = img_stream.decode('utf-8') print(bs64)
import base64 bs64 = "" img_data = base64.b64decode(bs64) print(img_data)
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