def art_image(event):
image_path, output_path = path_data.get_image_path(event)
# カーネルを定義
kernel = np.ones((5, 5), np.uint8)
kernel[0, 0] = kernel[0, 4] = kernel[4, 0] = kernel[4, 4] = 0
# グレースケールで画像を読み込む.
# gray = cv2.imread(path, cv2.IMREAD_GRAYSCALE)
# ImageMagickの convert -flatten x.png y.png に対応
img = cv2.imread(image_path, cv2.IMREAD_UNCHANGED)
if img.shape[2] == 4:
mask = img[:, :, 3] == 0
img[mask] = [255] * 4
img = cv2.cvtColor(img, cv2.COLOR_BGRA2BGR)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
# ノイズ除去が必要なら
# gray = cv2.fastNlMeansDenoising(gray, h=20)
# 白い部分を膨張させる
dilated = cv2.dilate(gray, kernel, iterations=1)
# 差をとる
diff = cv2.absdiff(dilated, gray)
# 白黒反転して2値化
# _, contour = cv2.threshold(255 - diff, 240, 255, cv2.THRESH_BINARY)
# あるいは
image = cv2.adaptiveThreshold(255 - diff, 255,
cv2.ADAPTIVE_THRESH_GAUSSIAN_C,
cv2.THRESH_BINARY, 7, 8)
cv2.imwrite(output_path, image)
################################################################
def skin_image(event, userid, color):
image_path, output_path = path_data.get_image_path(event, userid)
image = cv2.imread(image_path) # Load image
hsv = cv2.cvtColor(image, cv2.COLOR_BGR2HSV) # BGR->HSV変換
hsv_2 = np.copy(hsv)
#a = random.randint(1,6)
if color == 1:
hsv_2[:, :, 0] = np.where((hsv[:, :, 0] > 6) & (hsv[:, :, 0] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0]) #赤に変更
hsv_3 = np.copy(hsv_2)
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 0] >= 0) & (hsv_2[:, :, 0] < 10),
hsv_2[:, :, 0] + 60, hsv_2[:, :, 0]) #緑
bgr = cv2.cvtColor(hsv_3, cv2.COLOR_HSV2BGR)
elif color == 2:
hsv_2[:, :, 0] = np.where((hsv[:, :, 0] > 6) & (hsv[:, :, 0] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0]) #赤に変更
hsv_3 = np.copy(hsv_2)
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 0] >= 0) & (hsv_2[:, :, 0] < 10),
hsv_2[:, :, 0] + 110, hsv_2[:, :, 0]) #青
bgr = cv2.cvtColor(hsv_3, cv2.COLOR_HSV2BGR)
elif color == 3:
hsv_2[:, :, 0] = np.where((hsv[:, :, 0] > 6) & (hsv[:, :, 0] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0]) #赤に変更
hsv_3 = np.copy(hsv_2)
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 0] >= 0) & (hsv_2[:, :, 0] < 10),
hsv_2[:, :, 0] + 25, hsv_2[:, :, 0]) #黄色
bgr = cv2.cvtColor(hsv_3, cv2.COLOR_HSV2BGR)
elif color == 4:
hsv_2[:, :, 0] = np.where((hsv[:, :, 0] > 6) & (hsv[:, :, 0] < 30),
hsv[:, :, 0] + 160, hsv[:, :, 0]) #ピンク
hsv_3 = np.copy(hsv_2)
hsv_3[:, :,
1] = np.where((hsv_2[:, :, 0] > 140) & (hsv_2[:, :, 0] < 180),
hsv[:, :, 1] * 0.8, hsv[:, :, 1]) #ピンク
bgr = cv2.cvtColor(hsv_3, cv2.COLOR_HSV2BGR)
elif color == 5:
hsv_2[:, :, 0] = np.where((hsv[:, :, 0] > 6) & (hsv[:, :, 0] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0]) #赤色
bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
elif color == 6:
hsv_2[:, :, 2] = np.where((hsv[:, :, 0] >= 2) & (hsv[:, :, 0] < 30),
hsv[:, :, 2] * 0.4, hsv[:, :, 2]) #黒色
bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
#hsv_2[:, :, 2] = np.where((hsv_2[:, :, 0]>6) & (hsv_2[:, :, 0]<30) ,hsv_2[:, :, 1] *0.7,hsv_2[:, :, 2]) #黒色
#0.001 赤
#0.3 緑
#bgr = cv2.cvtColor(hsv_3, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
def mosic_image(event,userid):
bool = True
image_path, output_path = path_data.get_image_path(event,userid)
# ファイル読み込みo
image = cv2.imread(image_path)
# グレースケール変換
image_gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
# カスケード分類器の特徴量を取得する
cascade = cv2.CascadeClassifier(main.cascade_path)
cascade_eye = cv2.CascadeClassifier(main.cascade_eye_path)
# 物体認識（顔認識）の実行
# image – CV_8U 型の行列．ここに格納されている画像中から物体が検出されます
# objects – 矩形を要素とするベクトル．それぞれの矩形は，検出した物体を含みます
# scaleFactor – 各画像スケールにおける縮小量を表します
# minNeighbors – 物体候補となる矩形は，最低でもこの数だけの近傍矩形を含む必要があります
# flags – このパラメータは，新しいカスケードでは利用されません．古いカスケードに対しては，cvHaarDetectObjects 関数の場合と同じ意味を持ちます
# minSize – 物体が取り得る最小サイズ．これよりも小さい物体は無視されます
facerect = cascade.detectMultiScale(image_gray, scaleFactor=1.1, minNeighbors=2, minSize=(30, 30))
eyerect = cascade_eye.detectMultiScale(image_gray, scaleFactor=1.1, minNeighbors=2, minSize=(20, 20))
print("レクト:{} // {}".format(facerect, eyerect))
print("ぎっとぽっど")
color = (255, 0, 0) # 青
ratio = 0.05 # 縮小処理時の縮小率(小さいほどモザイクが大きくなる)
print("通過したじょ")
if len(eyerect) > 0:
# for rect in eyerect:
# cv2.rectangle(image, tuple(rect[0:2]), tuple(rect[0:2] + rect[2:4]), color, thickness=1)
# print(eyerect)
# print(rect)
for x, y, w, h in eyerect: # 引数でeyesで取得した数分forループ
# y:はHEIGHT、x:はWEIGHT fxはxの縮小率、fyはyの縮小率
small = cv2.resize(image[y: y + h, x: x + w], None, fx=ratio, fy=ratio, interpolation=cv2.INTER_NEAREST)
image[y: y + h, x: x + w] = cv2.resize(small, (w, h), interpolation=cv2.INTER_NEAREST)
else:
bool = False
if bool:
# 認識結果の保存
cv2.imwrite(output_path, image)
#cv2.imwrite(output_path2, image)
return True
else:
return False
################################################################
def illust_image(event):
image_path, output_path = path_data.get_image_path(event)
# 元画像の読み込み
img = cv2.imread(image_path)
# 画像のアニメ絵化
image = illust_filter(img, 30)
# 結果出力
cv2.imwrite(output_path, image)
################################################################
def dot_image(event, userid):
image_path, output_path = path_data.get_image_path(event, userid)
# 元画像の読み込み
img = cv2.imread(image_path)
# ドット絵化
dst = pixel_art(img, 0.5, 4)
# 結果を出力
print("出力確認:{}".format(output_path))
cv2.imwrite(output_path, dst)
################################################################
def skin_image(event, userid, color):
image_path, output_path = path_data.get_image_path(event, userid)
img = cv2.imread(image_path) # Load image
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # BGR->HSV変換
hsv_2 = np.copy(hsv)
hsv_3 = np.copy(hsv_2)
hsv_4 = np.copy(hsv_3)
hsv_5 = np.copy(hsv_4)
hsv_6 = np.copy(hsv_5)
hsv_7 = np.copy(hsv_6)
hsv_8 = np.copy(hsv_7)
hsv_9 = np.copy(hsv_8)
hsv_10 = np.copy(hsv_9)
if color == 1:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] >= 0) & (hsv[:, :, 2] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0])
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 2] > 30) & (hsv_2[:, :, 2] < 60),
hsv_2[:, :, 0] * 0.001, hsv_2[:, :, 0]) #150~180
hsv_4[:, :,
0] = np.where((hsv_3[:, :, 2] > 60) & (hsv_3[:, :, 2] < 90),
hsv_3[:, :, 0] * 0.001, hsv_3[:, :, 0]) #160~190
#彩度を上げる
hsv_5[:, :,
1] = np.where((hsv_4[:, :, 2] >= 0) & (hsv_4[:, :, 2] < 30),
hsv_4[:, :, 1] + 200, hsv_4[:, :, 1])
hsv_6[:, :,
1] = np.where((hsv_5[:, :, 2] > 30) & (hsv_5[:, :, 2] < 60),
hsv_5[:, :, 1] + 200, hsv_5[:, :, 1])
hsv_7[:, :,
1] = np.where((hsv_6[:, :, 2] > 60) & (hsv_6[:, :, 2] < 100),
hsv_6[:, :, 1] + 200, hsv_6[:, :, 1])
#色相を上げる
hsv_8[:, :,
0] = np.where((hsv_7[:, :, 2] >= 0) & (hsv_7[:, :, 2] < 30),
hsv_7[:, :, 0] + 100, hsv_7[:, :, 0])
hsv_9[:, :,
0] = np.where((hsv_8[:, :, 2] > 30) & (hsv_8[:, :, 2] < 60),
hsv_8[:, :, 0] + 100, hsv_8[:, :, 0]) #150~180
hsv_10[:, :,
0] = np.where((hsv_9[:, :, 2] > 60) & (hsv_9[:, :, 2] < 100),
hsv_9[:, :, 0] + 100, hsv_9[:, :, 0]) #160~190
#明度を上げる
hsv_11 = np.copy(hsv_10)
hsv_11[:, :,
2] = np.where((hsv_8[:, :, 2] >= 0) & (hsv_8[:, :, 2] < 30),
hsv_8[:, :, 2] + 90, hsv_8[:, :, 2]) #140~170
hsv_12 = np.copy(hsv_11)
hsv_12[:, :,
2] = np.where((hsv_11[:, :, 2] > 30) & (hsv_11[:, :, 2] < 60),
hsv_11[:, :, 2] + 90, hsv_11[:, :, 2]) #150~180
hsv_13 = np.copy(hsv_12)
hsv_13[:, :,
2] = np.where((hsv_12[:, :, 2] > 60) & (hsv_12[:, :, 2] < 100),
hsv_12[:, :, 2] + 90, hsv_12[:, :, 2]) #160~190
bgr = cv2.cvtColor(hsv_12, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
elif color == 2:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] >= 0) & (hsv[:, :, 2] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0])
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 2] > 30) & (hsv_2[:, :, 2] < 60),
hsv_2[:, :, 0] * 0.001, hsv_2[:, :, 0]) #150~180
hsv_4[:, :,
0] = np.where((hsv_3[:, :, 2] > 60) & (hsv_3[:, :, 2] < 90),
hsv_3[:, :, 0] * 0.001, hsv_3[:, :, 0]) #160~190
#彩度を上げる
hsv_5[:, :,
1] = np.where((hsv_4[:, :, 2] >= 0) & (hsv_4[:, :, 2] < 30),
hsv_4[:, :, 1] + 200, hsv_4[:, :, 1])
hsv_6[:, :,
1] = np.where((hsv_5[:, :, 2] > 30) & (hsv_5[:, :, 2] < 60),
hsv_5[:, :, 1] + 200, hsv_5[:, :, 1])
hsv_7[:, :,
1] = np.where((hsv_6[:, :, 2] > 60) & (hsv_6[:, :, 2] < 100),
hsv_6[:, :, 1] + 200, hsv_6[:, :, 1])
#色相を上げる
hsv_8[:, :,
0] = np.where((hsv_7[:, :, 2] >= 0) & (hsv_7[:, :, 2] < 30),
hsv_7[:, :, 0] + 50, hsv_7[:, :, 0])
hsv_9[:, :,
0] = np.where((hsv_8[:, :, 2] > 30) & (hsv_8[:, :, 2] < 60),
hsv_8[:, :, 0] + 50, hsv_8[:, :, 0]) #150~180
hsv_10[:, :,
0] = np.where((hsv_9[:, :, 2] > 60) & (hsv_9[:, :, 2] < 100),
hsv_9[:, :, 0] + 50, hsv_9[:, :, 0]) #160~190
#明度を上げる
hsv_11 = np.copy(hsv_10)
hsv_11[:, :,
2] = np.where((hsv_8[:, :, 2] >= 0) & (hsv_8[:, :, 2] < 30),
hsv_8[:, :, 2] + 90, hsv_8[:, :, 2]) #140~170
hsv_12 = np.copy(hsv_11)
hsv_12[:, :,
2] = np.where((hsv_11[:, :, 2] > 30) & (hsv_11[:, :, 2] < 60),
hsv_11[:, :, 2] + 90, hsv_11[:, :, 2]) #150~180
hsv_13 = np.copy(hsv_12)
hsv_13[:, :,
2] = np.where((hsv_12[:, :, 2] > 60) & (hsv_12[:, :, 2] < 100),
hsv_12[:, :, 2] + 90, hsv_12[:, :, 2]) #160~190
bgr = cv2.cvtColor(hsv_12, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
elif color == 3:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] >= 0) & (hsv[:, :, 2] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0])
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 2] > 30) & (hsv_2[:, :, 2] < 60),
hsv_2[:, :, 0] * 0.001, hsv_2[:, :, 0]) #150~180
hsv_4[:, :,
0] = np.where((hsv_3[:, :, 2] > 60) & (hsv_3[:, :, 2] < 90),
hsv_3[:, :, 0] * 0.001, hsv_3[:, :, 0]) #160~190
#彩度を上げる
hsv_5[:, :,
1] = np.where((hsv_4[:, :, 2] >= 0) & (hsv_4[:, :, 2] < 30),
hsv_4[:, :, 1] + 200, hsv_4[:, :, 1])
hsv_6[:, :,
1] = np.where((hsv_5[:, :, 2] > 30) & (hsv_5[:, :, 2] < 60),
hsv_5[:, :, 1] + 200, hsv_5[:, :, 1])
hsv_7[:, :,
1] = np.where((hsv_6[:, :, 2] > 60) & (hsv_6[:, :, 2] < 100),
hsv_6[:, :, 1] + 200, hsv_6[:, :, 1])
#色相を上げる
hsv_8[:, :,
0] = np.where((hsv_7[:, :, 2] >= 0) & (hsv_7[:, :, 2] < 30),
hsv_7[:, :, 0] + 80, hsv_7[:, :, 0])
hsv_9[:, :,
0] = np.where((hsv_8[:, :, 2] > 30) & (hsv_8[:, :, 2] < 60),
hsv_8[:, :, 0] + 80, hsv_8[:, :, 0]) #150~180
hsv_10[:, :,
0] = np.where((hsv_9[:, :, 2] > 60) & (hsv_9[:, :, 2] < 100),
hsv_9[:, :, 0] + 80, hsv_9[:, :, 0]) #160~190
#明度を上げる
hsv_11 = np.copy(hsv_10)
hsv_11[:, :,
2] = np.where((hsv_8[:, :, 2] >= 0) & (hsv_8[:, :, 2] < 30),
hsv_8[:, :, 2] + 90, hsv_8[:, :, 2]) #140~170
hsv_12 = np.copy(hsv_11)
hsv_12[:, :,
2] = np.where((hsv_11[:, :, 2] > 30) & (hsv_11[:, :, 2] < 60),
hsv_11[:, :, 2] + 90, hsv_11[:, :, 2]) #150~180
hsv_13 = np.copy(hsv_12)
hsv_13[:, :,
2] = np.where((hsv_12[:, :, 2] > 60) & (hsv_12[:, :, 2] < 100),
hsv_12[:, :, 2] + 90, hsv_12[:, :, 2]) #160~190
bgr = cv2.cvtColor(hsv_12, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr) #黄色
elif color == 4:
print()
elif color == 5:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] >= 0) & (hsv[:, :, 2] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0])
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 2] > 30) & (hsv_2[:, :, 2] < 60),
hsv_2[:, :, 0] * 0.001, hsv_2[:, :, 0]) #150~180
hsv_4[:, :,
0] = np.where((hsv_3[:, :, 2] > 60) & (hsv_3[:, :, 2] < 90),
hsv_3[:, :, 0] * 0.001, hsv_3[:, :, 0]) #160~190
#彩度を上げる
hsv_5[:, :,
1] = np.where((hsv_4[:, :, 2] >= 0) & (hsv_4[:, :, 2] < 30),
hsv_4[:, :, 1] + 200, hsv_4[:, :, 1])
hsv_6[:, :,
1] = np.where((hsv_5[:, :, 2] > 30) & (hsv_5[:, :, 2] < 60),
hsv_5[:, :, 1] + 200, hsv_5[:, :, 1])
hsv_7[:, :,
1] = np.where((hsv_6[:, :, 2] > 60) & (hsv_6[:, :, 2] < 100),
hsv_6[:, :, 1] + 200, hsv_6[:, :, 1])
#色相を上げる
hsv_8[:, :,
0] = np.where((hsv_7[:, :, 2] >= 0) & (hsv_7[:, :, 2] < 30),
hsv_7[:, :, 0] + 50, hsv_7[:, :, 0])
hsv_9[:, :,
0] = np.where((hsv_8[:, :, 2] > 30) & (hsv_8[:, :, 2] < 60),
hsv_8[:, :, 0] + 50, hsv_8[:, :, 0]) #150~180
hsv_10[:, :,
0] = np.where((hsv_9[:, :, 2] > 60) & (hsv_9[:, :, 2] < 100),
hsv_9[:, :, 0] + 50, hsv_9[:, :, 0]) #160~190
#明度を上げる
hsv_11 = np.copy(hsv_10)
hsv_11[:, :,
2] = np.where((hsv_8[:, :, 2] >= 0) & (hsv_8[:, :, 2] < 30),
hsv_8[:, :, 2] + 90, hsv_8[:, :, 2]) #140~170
hsv_12 = np.copy(hsv_11)
hsv_12[:, :,
2] = np.where((hsv_11[:, :, 2] > 30) & (hsv_11[:, :, 2] < 60),
hsv_11[:, :, 2] + 90, hsv_11[:, :, 2]) #150~180
hsv_13 = np.copy(hsv_12)
hsv_13[:, :,
2] = np.where((hsv_12[:, :, 2] > 60) & (hsv_12[:, :, 2] < 100),
hsv_12[:, :, 2] + 90, hsv_12[:, :, 2]) #160~190
bgr = cv2.cvtColor(hsv_12, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr) #赤色
elif color == 6:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] >= 0) & (hsv[:, :, 2] < 30),
hsv[:, :, 0] * 0.001, hsv[:, :, 0])
hsv_3[:, :,
0] = np.where((hsv_2[:, :, 2] > 30) & (hsv_2[:, :, 2] < 60),
hsv_2[:, :, 0] * 0.001, hsv_2[:, :, 0]) #150~180
hsv_4[:, :,
0] = np.where((hsv_3[:, :, 2] > 60) & (hsv_3[:, :, 2] < 90),
hsv_3[:, :, 0] * 0.001, hsv_3[:, :, 0]) #160~190
#彩度を上げる
hsv_5[:, :,
1] = np.where((hsv_4[:, :, 2] >= 0) & (hsv_4[:, :, 2] < 30),
hsv_4[:, :, 1] + 200, hsv_4[:, :, 1])
hsv_6[:, :,
1] = np.where((hsv_5[:, :, 2] > 30) & (hsv_5[:, :, 2] < 60),
hsv_5[:, :, 1] + 200, hsv_5[:, :, 1])
hsv_7[:, :,
1] = np.where((hsv_6[:, :, 2] > 60) & (hsv_6[:, :, 2] < 100),
hsv_6[:, :, 1] + 200, hsv_6[:, :, 1])
#色相を上げる
hsv_8[:, :,
0] = np.where((hsv_7[:, :, 2] >= 0) & (hsv_7[:, :, 2] < 30),
hsv_7[:, :, 0] + 70, hsv_7[:, :, 0])
hsv_9[:, :,
0] = np.where((hsv_8[:, :, 2] > 30) & (hsv_8[:, :, 2] < 60),
hsv_8[:, :, 0] + 70, hsv_8[:, :, 0]) #150~180
hsv_10[:, :,
0] = np.where((hsv_9[:, :, 2] > 60) & (hsv_9[:, :, 2] < 100),
hsv_9[:, :, 0] + 70, hsv_9[:, :, 0]) #160~190
#明度を上げる
hsv_11 = np.copy(hsv_10)
hsv_11[:, :,
2] = np.where((hsv_8[:, :, 2] >= 0) & (hsv_8[:, :, 2] < 30),
hsv_8[:, :, 2] + 90, hsv_8[:, :, 2]) #140~170
hsv_12 = np.copy(hsv_11)
hsv_12[:, :,
2] = np.where((hsv_11[:, :, 2] > 30) & (hsv_11[:, :, 2] < 60),
hsv_11[:, :, 2] + 90, hsv_11[:, :, 2]) #150~180
hsv_13 = np.copy(hsv_12)
hsv_13[:, :,
2] = np.where((hsv_12[:, :, 2] > 60) & (hsv_12[:, :, 2] < 100),
hsv_12[:, :, 2] + 90, hsv_12[:, :, 2]) #160~190
bgr = cv2.cvtColor(hsv_12, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr) #茶色
#茶色から指定色-----------------------------------------------------------------------------------------------------------
#if color == 1:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<255) ,hsv[:, :, 0] +50 ,hsv[:, :, 0])#黒(茶色)から緑
#hsv_2[:, :, 0] = np.where((hsv[:, :, 0]>6) & (hsv[:, :, 0]<30) ,hsv[:, :, 0] + 50,hsv[:, :, 0]) #緑
#elif color == 2:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>6) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 110,hsv[:, :, 0]) #青
#elif color == 3:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>6) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 20,hsv[:, :, 0]) #黄色
#elif color == 4:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 176,hsv[:, :, 0]) #ピンク
#hsv_2[:, :, 1] = np.where((hsv[:, :, 0]>=176) ,hsv[:, :, 1] + 96 ,hsv[:, :, 1])
#elif color == 5:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>6) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] *0.001,hsv[:, :, 0]) #赤色
#elif color == 6:
#hsv_2[:, :, 2] = np.where((hsv[:, :, 0]>6) & (hsv[:, :, 0]<30) ,hsv[:, :, 2] *0.4,hsv[:, :, 2]) #黒色
#hsv_2[:, :, 2] = np.where((hsv_2[:, :, 0]>6) & (hsv_2[:, :, 0]<30) ,hsv_2[:, :, 1] *0.7,hsv_2[:, :, 2]) #黒色
#0.001 赤
#0.3 緑
#bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
#----------------------------------------------------------------------------------------------------------------------
#bgr = cv2.cvtColor(hsv_13, cv2.COLOR_HSV2BGR)
#cv2.imwrite(output_path, bgr)
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 176,hsv[:, :, 0]) #濃い茶色
#hsv_2[:, :, 1] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 1] + 96 ,hsv[:, :, 1])
#白
#hsv_2[:, :, 1] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 1] + 180 ,hsv[:, :, 1])
#hsv_3[:, :, 2] = np.where((hsv_2[:, :, 2]>0) & (hsv_2[:, :, 2]<128) ,hsv_2[:, :, 2] + 180 ,hsv_2[:, :, 2])
def hair_image2(event, userid, color):
image_path, output_path = path_data.get_image_path(event, userid)
img = cv2.imread(image_path) # Load image
#height = img.shape[0]
#width = img.shape[1]
#img2 = cv2.resize(img , (int(width*0.5), int(height*0.5)))
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # BGR->HSV変換
hsv_2 = np.copy(hsv)
hsv_3 = np.copy(hsv_2)
hsv_4 = np.copy(hsv_3)
hsv_5 = np.copy(hsv_4)
hsv_6 = np.copy(hsv_5)
hsv_7 = np.copy(hsv_6)
hsv_8 = np.copy(hsv_7)
hsv_9 = np.copy(hsv_8)
hsv_10 = np.copy(hsv_9)
#茶色から指定色-----------------------------------------------------------------------------------------------------------
if color == 1:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 6) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] + 50, hsv[:, :, 0]) #黒(茶色)から緑
#hsv_2[:, :, 0] = np.where((hsv[:, :, 0]>6) & (hsv[:, :, 0]<30) ,hsv[:, :, 0] + 50,hsv[:, :, 0]) #緑
bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
elif color == 2:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 6) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] + 110, hsv[:, :, 0]) #青
bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
elif color == 3:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 6) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] + 20, hsv[:, :, 0]) #黄色
bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
elif color == 4:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 0) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] + 176, hsv[:, :, 0]) #ピンク
hsv_3[:, :, 1] = np.where((hsv_2[:, :, 0] >= 176), hsv_2[:, :, 1] + 96,
hsv_2[:, :, 1])
bgr = cv2.cvtColor(hsv_3, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
elif color == 5:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 6) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] * 0.001, hsv[:, :, 0]) #赤色
bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
elif color == 6:
hsv_2[:, :, 1] = np.where((hsv[:, :, 0] >= 0) & (hsv[:, :, 0] < 30),
hsv[:, :, 2] * 0, hsv[:, :, 1]) #黒色
hsv_3[:, :, 2] = np.where((hsv_2[:, :, 0] > 6) & (hsv_2[:, :, 0] < 30),
hsv_2[:, :, 0] * 0, hsv_2[:, :, 0]) #黒色
bgr = cv2.cvtColor(hsv_3, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
#0.001 赤
#0.3 緑
#bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
#----------------------------------------------------------------------------------------------------------------------
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 176,hsv[:, :, 0]) #濃い茶色
#hsv_2[:, :, 1] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 1] + 96 ,hsv[:, :, 1])
#白
#hsv_2[:, :, 1] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 1] + 180 ,hsv[:, :, 1])
#hsv_3[:, :, 2] = np.where((hsv_2[:, :, 2]>0) & (hsv_2[:, :, 2]<128) ,hsv_2[:, :, 2] + 180 ,hsv_2[:, :, 2])
def hair_image(event, userid, color):
image_path, output_path = path_data.get_image_path(event, userid)
img = cv2.imread(image_path) # Load image
#height = img.shape[0]
#width = img.shape[1]
#img2 = cv2.resize(img , (int(width*0.5), int(height*0.5)))
hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV) # BGR->HSV変換
hsv_2 = np.copy(hsv)
hsv_3 = np.copy(hsv_2)
hsv_4 = np.copy(hsv_3)
hsv_5 = np.copy(hsv_4)
hsv_6 = np.copy(hsv_5)
hsv_7 = np.copy(hsv_6)
hsv_8 = np.copy(hsv_7)
hsv_9 = np.copy(hsv_8)
hsv_10 = np.copy(hsv_9)
#hsv_2[:, :, 0] = np.where((hsv[:, :, 0]>5) & (hsv[:, :, 0]<30) ,hsv[:, :, 0] + 150,hsv[:, :, 0])
#hsv_2[:, :, 2] = np.where((hsv[:, :, 2]>5) )
#hsv_2[:, :, 2] = np.where((hsv[:, :, 0]>5) & (hsv[:, :, 0]<30) ,hsv[:, :, 2] *0.5,hsv[:, :, 2])#金髪から黒髪
#hsv_2[:, :, 2] = np.where((hsv[:, :, 0]>5) & (hsv[:, :, 0]<30) ,hsv[:, :, 2] *0.5,hsv[:, :, 2])
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] +110 ,hsv[:, :, 0])#黒(茶色)から青
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] +50 ,hsv[:, :, 0])#黒(茶色)から緑
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] +160 ,hsv[:, :, 0])#黒(茶色)から赤
#bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
#cv2.imwrite(output_path,bgr)
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] +50 ,hsv[:, :, 0])
if color == 1:
#色相を０に
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>=0) & (hsv[:, :, 2]<30) ,hsv[:, :, 0] *0.001 ,hsv[:, :, 0])
#hsv_3[:, :, 0] = np.where((hsv_2[:, :, 2]>30) & (hsv_2[:, :, 2]<60) ,hsv_2[:, :, 0] *0.001 ,hsv_2[:, :, 0])#150~180
#hsv_4[:, :, 0] = np.where((hsv_3[:, :, 2]>60) & (hsv_3[:, :, 2]<90) ,hsv_3[:, :, 0] *0.001 ,hsv_3[:, :, 0])#160~190
#明度をあげる
##hsv_5[:, :, 2] = np.where((hsv_4[:, :, 2]>=0) & (hsv_4[:, :, 2]<30) ,hsv_4[:, :, 2] + 140 ,hsv_4[:, :, 2])#140~170
##hsv_6[:, :, 2] = np.where((hsv_5[:, :, 2]>30) & (hsv_5[:, :, 2]<60) ,hsv_5[:, :, 2] + 120 ,hsv_5[:, :, 2])#150~180
##hsv_7[:, :, 2] = np.where((hsv_6[:, :, 2]>60) & (hsv_6[:, :, 2]<90) ,hsv_6[:, :, 2] + 100 ,hsv_6[:, :, 2])#160~190
#ここから
#彩度を上げる
hsv_5[:, :,
1] = np.where((hsv_4[:, :, 2] >= 0) & (hsv_4[:, :, 2] < 30),
hsv_4[:, :, 1] + 230, hsv_4[:, :, 1])
#hsv_6[:, :, 1] = np.where((hsv_5[:, :, 2]>30) & (hsv_5[:, :, 2]<60) ,hsv_5[:, :, 1] + 230 ,hsv_5[:, :, 1])
#hsv_7[:, :, 1] = np.where((hsv_6[:, :, 2]>60) & (hsv_6[:, :, 2]<100) ,hsv_6[:, :, 1] + 230 ,hsv_6[:, :, 1])
#色相を上げる
hsv_8[:, :,
0] = np.where((hsv_5[:, :, 2] >= 0) & (hsv_5[:, :, 2] < 30),
hsv_5[:, :, 0] + 80, hsv_5[:, :, 0])
#hsv_9[:, :, 0] = np.where((hsv_8[:, :, 2]>30) & (hsv_8[:, :, 2]<60) ,hsv_8[:, :, 0] +80 ,hsv_8[:, :, 0])#150~180
#hsv_10[:, :, 0] = np.where((hsv_9[:, :, 2]>60) & (hsv_9[:, :, 2]<100) ,hsv_9[:, :, 0]+80 ,hsv_9[:, :, 0])#160~190
#明度を上げる
hsv_11 = np.copy(hsv_8)
hsv_11[:, :,
2] = np.where((hsv_8[:, :, 2] >= 0) & (hsv_8[:, :, 2] < 30),
hsv_8[:, :, 2] + 180, hsv_8[:, :, 2]) #140~170
hsv_12 = np.copy(hsv_11)
#hsv_12[:, :, 2] = np.where((hsv_11[:, :, 2]>30) & (hsv_11[:, :, 2]<60) ,hsv_11[:, :, 2] + 160 ,hsv_11[:, :, 2])#150~180
hsv_13 = np.copy(hsv_12)
#hsv_13[:, :, 2] = np.where((hsv_12[:, :, 2]>60) & (hsv_12[:, :, 2]<100) ,hsv_12[:, :, 2] + 140 ,hsv_12[:, :, 2])#160~190
#ここまで
#色相追加
#彩度をあげる
##hsv_8[:, :, 1] = np.where((hsv_7[:, :, 2]>140) & (hsv_7[:, :, 2]<190) & (hsv_4[:, :, 2]>=0) & (hsv_4[:, :, 2]<30) ,hsv_7[:, :, 1] + 100 ,hsv_7[:, :, 1])
#hsv_8[:, :, 1] = np.where((hsv_7[:, :, 2]>140) & (hsv_7[:, :, 2]<190) & (hsv_7[:, :, 1]<100) ,hsv_7[:, :, 1] + 100 ,hsv_7[:, :, 1])#& (hsv_4[:, :, 1]<20)
#hsv_9[:, :, 1] = np.where(((hsv_8[:, :, 2]>150) & (hsv_8[:, :, 2]<180)) & (hsv_8[:, :, 1]<100) ,hsv_8[:, :, 1] + 100,hsv_8[:, :, 1])
#hsv_10[:, :, 1] = np.where(((hsv_9[:, :, 2]>160) & (hsv_9[:, :, 2]<190)) & (hsv_9[:, :, 1]<100) ,hsv_9[:, :, 1] + 100 ,hsv_9[:, :, 1])
#hsv_5[:, :, 2] = np.where((hsv_4[:, :, 2]>90) & (hsv_4[:, :, 2]<120) ,hsv_4[:, :, 2] + 80 ,hsv_4[:, :, 2])
#hsv_3[:, :, 1] = np.where(((hsv[:, :, 2]>30) & (hsv[:, :, 2]<128)) & (hsv[:, :, 1]<100) ,hsv_2[:, :, 1] + 100 ,hsv_2[:, :, 1],)
#hsv_3[:, :, 2] = np.where(((hsv_2[:, :, 2]>0) & (hsv_2[:, :, 2]<200)) & (hsv_2[:, :, 1]<255) ,hsv_2[:, :, 1] -190 ,hsv_2[:, :, 2])
#hsv_2[:, :, 0] = np.where((hsv[:, :, 0]>6) & (hsv[:, :, 0]<30) ,hsv[:, :, 0] + 50,hsv[:, :, 0]) #緑
elif color == 2:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 6) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] + 110, hsv[:, :, 0]) #青
elif color == 3:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 6) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] + 20, hsv[:, :, 0]) #黄色
elif color == 4:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 0) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] + 176, hsv[:, :, 0]) #ピンク
hsv_2[:, :, 1] = np.where((hsv[:, :, 0] >= 176), hsv[:, :, 1] + 96,
hsv[:, :, 1])
elif color == 5:
hsv_2[:, :, 0] = np.where((hsv[:, :, 2] > 6) & (hsv[:, :, 2] < 128),
hsv[:, :, 0] * 0.001, hsv[:, :, 0]) #赤色
elif color == 6:
hsv_2[:, :, 2] = np.where((hsv[:, :, 0] > 6) & (hsv[:, :, 0] < 30),
hsv[:, :, 2] * 0.4, hsv[:, :, 2]) #黒色
#茶色から指定色-----------------------------------------------------------------------------------------------------------
#if color == 1:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<255) ,hsv[:, :, 0] +50 ,hsv[:, :, 0])#黒(茶色)から緑
#hsv_2[:, :, 0] = np.where((hsv[:, :, 0]>6) & (hsv[:, :, 0]<30) ,hsv[:, :, 0] + 50,hsv[:, :, 0]) #緑
#elif color == 2:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>6) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 110,hsv[:, :, 0]) #青
#elif color == 3:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>6) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 20,hsv[:, :, 0]) #黄色
#elif color == 4:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 176,hsv[:, :, 0]) #ピンク
#hsv_2[:, :, 1] = np.where((hsv[:, :, 0]>=176) ,hsv[:, :, 1] + 96 ,hsv[:, :, 1])
#elif color == 5:
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>6) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] *0.001,hsv[:, :, 0]) #赤色
#elif color == 6:
#hsv_2[:, :, 2] = np.where((hsv[:, :, 0]>6) & (hsv[:, :, 0]<30) ,hsv[:, :, 2] *0.4,hsv[:, :, 2]) #黒色
#hsv_2[:, :, 2] = np.where((hsv_2[:, :, 0]>6) & (hsv_2[:, :, 0]<30) ,hsv_2[:, :, 1] *0.7,hsv_2[:, :, 2]) #黒色
#0.001 赤
#0.3 緑
#bgr = cv2.cvtColor(hsv_2, cv2.COLOR_HSV2BGR)
#----------------------------------------------------------------------------------------------------------------------
bgr = cv2.cvtColor(hsv_11, cv2.COLOR_HSV2BGR)
cv2.imwrite(output_path, bgr)
#hsv_2[:, :, 0] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 0] + 176,hsv[:, :, 0]) #濃い茶色
#hsv_2[:, :, 1] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 1] + 96 ,hsv[:, :, 1])
#白
#hsv_2[:, :, 1] = np.where((hsv[:, :, 2]>0) & (hsv[:, :, 2]<128) ,hsv[:, :, 1] + 180 ,hsv[:, :, 1])
#hsv_3[:, :, 2] = np.where((hsv_2[:, :, 2]>0) & (hsv_2[:, :, 2]<128) ,hsv_2[:, :, 2] + 180 ,hsv_2[:, :, 2])