main.py 文件源码

def EES_predict():
    EES = model_EES(input_col=128, input_row=128)
    EES.load_weights("EES_model_adam200.h5")
    IMG_NAME = "butterfly_GT.bmp"
    INPUT_NAME = "input.jpg"
    OUTPUT_NAME = "EES_pre_adam200.jpg"

    import cv2
    img = cv2.imread(IMG_NAME)
    # img = img[:96, :96, :]
    shape = img.shape
    img = cv2.resize(img, (shape[1] / 2, shape[0] / 2), cv2.INTER_CUBIC)
    cv2.imwrite(INPUT_NAME, img)

    img = cv2.cvtColor(img, cv2.COLOR_BGR2YCrCb)
    Y = numpy.zeros((1, img.shape[0], img.shape[1], 1))
    Y[0, :, :, 0] = img[:, :, 0]
    img = cv2.resize(img, (shape[1], shape[0]), cv2.INTER_CUBIC)

    pre = EES.predict(Y, batch_size=1)
    pre[pre[:] > 255] = 255
    pre[pre[:] < 0] = 0
    pre = pre.astype(numpy.uint8)
    img[:, :, 0] = pre[0, :, :, 0]
    img = cv2.cvtColor(img, cv2.COLOR_YCrCb2BGR)
    cv2.imwrite(OUTPUT_NAME, img)

    # psnr calculation:
    im1 = cv2.imread(IMG_NAME, cv2.IMREAD_COLOR)
    # im1 = cv2.cvtColor(im1, cv2.COLOR_BGR2YCrCb)
    im2 = cv2.imread(INPUT_NAME, cv2.IMREAD_COLOR)
    # im2 = cv2.cvtColor(im2, cv2.COLOR_BGR2YCrCb)
    im2 = cv2.resize(im2, (img.shape[1], img.shape[0]))
    im3 = cv2.imread(OUTPUT_NAME, cv2.IMREAD_COLOR)
    # im3 = cv2.cvtColor(im3, cv2.COLOR_BGR2YCrCb)

    print "Bicubic:"
    print cv2.PSNR(im1, im2)
    print "EES:"
    print cv2.PSNR(im1, im3)