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rgb_hsv_display
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import numpy as np
import streamlit as st
import cv2
import pandas as pd

# HSV H(色相)の変更
def changedH(bgr_img, shift):
    hsvimage = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV_FULL) # BGR->HSV
    hi = hsvimage[:,:,0].astype(np.int32)
    if shift < 0:
        nhi = hi.flatten()
        for px in nhi:
            if px < 0:
                px = 255 - px
        nhi = nhi.reshape(hsvimage.shape[:2])
        hi = nhi.astype(np.uint8)
    chimg = (hi + shift) % 255
    hsvimage[:,:,0] = chimg
    hsv8 = hsvimage.astype(np.uint8)
    return cv2.cvtColor(hsv8,cv2.COLOR_HSV2BGR_FULL) # HSV->BGR

# HSV S(彩度),V(明度)の変更
def changedSV(bgr_img, alpha, beta, color_idx):
    hsvimage = cv2.cvtColor(bgr_img, cv2.COLOR_BGR2HSV_FULL) # BGR->HSV
    hsvf = hsvimage.astype(np.float32)
    hsvf[:,:,color_idx] = np.clip(hsvf[:,:,1] * alpha+beta, 0, 255)
    hsv8 = hsvf.astype(np.uint8)
    return cv2.cvtColor(hsv8,cv2.COLOR_HSV2BGR_FULL)

# HSV S(彩度)の変更
def changedS(bgr_img, alpha, beta):
    return changedSV(bgr_img, alpha, beta, 1)

# HSV V(明度)の変更
def changedV(bgr_img, alpha, beta):
    return changedSV(bgr_img, alpha, beta, 2)

def main():
  
  st.subheader("RGB値")
  R = st.slider(label='Red',
                min_value=0,
                max_value=255,
                value=100,
                )
  st.write(f'{R}')
  
  G = st.slider(label='Green',
                min_value=0,
                max_value=255,
                value=100,
                )
  st.write(f'{G}')
  
  B = st.slider(label='Blue',
                min_value=0,
                max_value=255,
                value=100,
                )
  st.write(f'{B}')

  R_nmp = np.array([R] * 80 * 200).reshape(80, 200).astype(np.uint8)
  G_nmp = np.array([G] * 80 * 200).reshape(80, 200).astype(np.uint8)
  B_nmp = np.array([B] * 80 * 200).reshape(80, 200).astype(np.uint8)
  img_nmp = np.stack([R_nmp, G_nmp, B_nmp], 2)

  st.image(
    img_nmp, 
    width=640,
    caption=f"R:{R} G:{G} B:{B}"
    )

  # HSV変換
  img_hsv = cv2.cvtColor(img_nmp, cv2.COLOR_RGB2HSV)

  # HSV値を取得
  H = img_hsv.T[0].flatten().min()
  S = img_hsv.T[1].flatten().min()
  V = img_hsv.T[2].flatten().min()

  # 表示
  st.subheader("HSV値")
  st.info(f"H:{H}  S:{S}  V:{V}")
  
  # RGBのサンプル
  df = pd.DataFrame(
    [
        ["白", 255, 255, 255],
        ["黄色", 255, 255, 0],
        ["薄い灰色", 192, 192, 192],
        ["水色", 0, 255, 255],
        ["黄緑", 0, 255, 0],
        ["灰色", 128, 128, 128],
        ["黄土色", 128, 128, 0],
        ["濃い桃色", 255, 0, 255],
        ["青緑", 0, 128, 128],
        ["赤", 255, 0, 0],
        ["緑", 0, 128, 0],
        ["紫", 128, 0, 128],
        ["茶色", 128, 0, 0],
        ["青", 0, 0, 255],
        ["紺", 0, 0, 128],
        ["黒", 0, 0, 0],
    ],
    columns = ["色", "R", "G", "B"]
  )
  
  st.sidebar.subheader("RGBサンプル")
  st.sidebar.table(df.set_index("色"))
  st.sidebar.markdown('日立HP[JP1/Automatic Job Management System 3 操作ガイド 11.11　RGB値による色の指定](http://itdoc.hitachi.co.jp/manuals/3020/30203S0933/AJSV0206.HTM) より引用')


if __name__ == '__main__':
    main()