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The function uses 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) # optional 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# 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) 1. Image to base64 coding import cv2import base64 def cv2_base64 (image): img = cv2.imread (image) binary_str = cv2.imencode ('.jpg', img) [1] .tostring () # Encoding base64_str = base64.b64encode (binary_str) # Decoding base64_str = base64_str.decode ('utf-8') myjson= {"bs64": cv2_base64 ("1.jpg")} print (myjson) return base64_str2. Image to binary coding import cv2import base64 def cv2_binary (image): img = cv2.imread (image) binary_str = cv2.imencode ('.jpg' Img) [1] .tostring () # Encoding print (binary_str) # base64_str = base64.b64encode (binary_str) # Decoding # base64_str = base64_str.decode ('utf-8') # print (base64_str) return binary_str cv2_binary ("1.jpg") # or image_file = r "1.jpg" image_bytes = open (image_file, "rb"). Read () print (image_bytes) # binary data 3. The image is saved as a binary file and read binary # python+OpenCV reads the image and converts it to a binary format file # coding=utf-8'''Created on March 24, 2016 use Opencv to read the image and save it to a binary format file, and then read the binary file Convert to image to display @ author: hanchao'''import cv2import numpy as npimport struct image = cv2.imread ("1.jpg") # imageClone = np.zeros ((image.shape [0], image.shape [1], 1) Np.uint8) # image.shape [0] for rows# image.shape [1] for cols# image.shape [2] for channels# image.shape = (480, 640, cols) rows = image.shape [0] cols = image.shape [1] channels = image.shape [2] # convert images to binaries # python write binaries F = open ('name','wb') # only wb writes binaries 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 () # convert binary to image and display # python read binary file In rb# f.read (n), n is the number of bytes to be read, which needs to be decoded after reading. Use struct.unpack ("B", fileReader.read (1)) function # where "B" is an unsigned integer, accounting for one byte, "b" is a signed integer, accounting for 1 byte # "c" is a char type, accounting for a byte # "I" is an int type, accounting for four bytes, and I is a signed shaping. Account for 4 bytes # "h" and "H" are short types, accounting for four bytes, and corresponding symbolic, unsigned # "l" and "L" are long types, accounting for four bytes, respectively. Unsigned 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) 4. Binary image conversion def binary_cv2 (bytes): file = open ("4.jpg", "wb") file.write (bytes) binary_cv2 ("bytes") # or from PIL import Imageimport ioimg = Image.open (io.BytesIO ("bytes")) img.save ("5.jpg") 5.base64 to image 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 () 6. 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 # Image Matrix Need cv2.imwrite to write 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_enc7. Binary to base64def binary_base64 (binary): img_stream = base64.b64encode (binary) bs64 = img_stream.decode ('utf-8') print (bs64) 8.base64 to binary import base64 bs64 = "" img_data = base64.b64decode (bs64) print (img_data) these are the contents of this article on "how Python realizes the conversion between binary and base64". I believe we all have some understanding. I hope the content shared by the editor will be helpful to all of you. 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