dev(narugo): add pandas

import cv2

import huggingface_hub

import numpy as np

import onnxruntime as rt

import pandas as pd

from PIL import Image

    left, right = delta_w // 2, delta_w - (delta_w // 2)

    color = [255, 255, 255]

    # noinspection PyUnresolvedReferences

    new_im = cv2.copyMakeBorder(

        img, top, bottom, left, right, cv2.BORDER_CONSTANT, value=color

    )

def smart_resize(img, size):

    # Assumes the image has already gone through make_square

    if img.shape[0] > size:

        # noinspection PyUnresolvedReferences

        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_AREA)

    elif img.shape[0] < size:

        # noinspection PyUnresolvedReferences

        img = cv2.resize(img, (size, size), interpolation=cv2.INTER_CUBIC)

    return img

}

def _load_wd14_model(model_repo: str, model_filename: str) -> rt.InferenceSession:

def _load_wd14_model(model_repo: str, model_filename: str):

    return open_onnx_model(huggingface_hub.hf_hub_download(model_repo, model_filename))

huggingface_hub

tqdm

opencv-python

pandas

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