最近有需要，自己按照opencv实现的方式，自测！
个别tensor，numpy互转参考：https://oldpan.me/archives/pytorch-tensor-image-transform
颜色空间转换代码：
from __future__ import print_functionimport torchimport numpy as npfrom PIL import Imageimport osimport cv2from color_convertion import *import osdef tensor_to_np(tensor):img = tensor.mul(255).byte()img = img.cpu().numpy().squeeze(0).transpose((1, 2, 0))return imgdef toTensor(img):assert type(img) == np.ndarray,'the img type is {}, but ndarry expected'.format(type(img))# img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)img = torch.from_numpy(img.transpose((2, 0, 1)))return img.float().div(255).unsqueeze(0) # N x H x W X C numpy to tensordef N_imgtoTensor(img):img = torch.from_numpy(img.transpose((0, 3, 1, 2)))return img.float().div(255)def N_tensor_to_np(tensor): #tensor value range is [0,1]img = tensor.mul(255).byte() #tensor size [N,C,H,w]img = img.cpu().numpy().transpose((0,2,3,1))return img#np_img size [N,H,w,C]def read_file(sn,tn):s = cv2.imread('some_data/'+sn+'.jpg')s = cv2.cvtColor(s,cv2.COLOR_BGR2LAB)t = cv2.imread('some_data/'+tn+'.jpg')t = cv2.cvtColor(t,cv2.COLOR_BGR2LAB)return s, tdef tensor_rgbtolab(sn,tn):s = cv2.imread('some_data/'+sn+'.jpg')s = cv2.cvtColor(s,cv2.COLOR_BGR2LAB)t = cv2.imread('some_data/'+tn+'.jpg')t = cv2.cvtColor(t,cv2.COLOR_BGR2LAB)s= toTensor(s)t=toTensor(t)return tensor2im(s),tensor2im(t)def tensor_original_img(sn,tn):s = cv2.imread('some_data/'+sn+'.jpg')t = cv2.imread('some_data/'+tn+'.jpg')s= toTensor(s)t=toTensor(t)return tensor_to_np(s),tensor_to_np(t)#1、 single img process!!!s1,t1=read_file('p1','p2')s2,t2=tensor_rgbtolab('p1','p2')s3,t3=tensor_original_img('p1','p2')cv2.namedWindow("1",0)cv2.namedWindow("2",0)cv2.namedWindow("3",0)cv2.resizeWindow("1",312,600)cv2.resizeWindow("2",312,600)cv2.resizeWindow("3",312,600)cv2.imshow("1",np.vstack([s1,t1]))cv2.imshow("2",np.vstack([s2,t2]))cv2.imshow("3",np.vstack([s3,t3]))#2、multi batch to process!!! def tensor_rgbtolab(sn,tn):s = cv2.imread('some_data/'+sn+'.jpg')t = cv2.imread('some_data/'+tn+'.jpg')temp=[]for i,img in enumerate([s,t]):img = cv2.cvtColor(img,cv2.COLOR_BGR2LAB)s=np.expand_dims(img,axis=0)temp.append(s)cat_result=np.concatenate(temp,axis=0)N_tensor=N_imgtoTensor(cat_result)print(N_tensor.shape)result=N_tensor_to_np(N_tensor)return resultoo=tensor_rgbtolab('p1','p2')for i,img in enumerate(oo):cv2.imshow(str(i),img)cv2.waitKey(0)cv2.destroyAllWindows()
