first commit

app.py

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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()

requirements.txt

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+numpy==1.21.4
+streamlit==1.2.0
+opencv-python==4.5.4.58
+pandas==1.3.4