import plotly_express as px
import torch
import torch.nn.functional as F
import torchvision.transforms.functional as Vision
import cv2


def DumpTensorToImage(tensor, name, autoPad=True, scale=1.0):
    if len(tensor.shape) != 2:
        raise ("Error input dims")
    tensor = tensor.float()
    maxv = torch.max(tensor)
    minv = torch.min(tensor)
    tensor = (((tensor - minv) / (maxv - minv)) * 256).byte().cpu()
    img = tensor.numpy()
    srp = img.shape
    if autoPad and (max(srp) / min(srp) > 16):
        img = cv2.resize(img,[max(srp),max(srp)])
    srp = img.shape
    if scale != 1.0:
        img = cv2.resize(img, [int(srp[0] * scale), int(srp[1] * scale)])
    srp = img.shape
    cv2.imwrite(name, img)