Workflow update

Example/RS Image Adjustments.json

@@ -1 +1 @@
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Example/RS Safe Saturation.json

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Example/RS Text Overlay Pro.json

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Рекоменды.txt

@@ -1,108 +0,0 @@
-## Анализ корректности расчетов параметров
-
-После проверки кода выявлены следующие проблемы:
-
-### 1. **Black & White** (функция `apply_black_and_white`)
-❌ **Ошибка**: параметры `yellow`, `cyan`, `magenta` не используются.  
-Формула использует только коэффициенты для красного, зелёного и синего каналов:
-```python
-gray = r*(red/100) + g*(green/100) + b*(blue/100)
-```
-Это игнорирует цветовые тона жёлтого, циана и пурпурного, что не соответствует фотошопу.
-
-**Правильный подход** (как в Photoshop):  
-Для каждого пикселя определяется его доминирующий цветовой тон, и веса для преобразования в градации серого интерполируются между соседними цветами. Например, можно использовать HSV и взвешенную сумму яркостей по формуле:
-```
-gray = R * w_R + G * w_G + B * w_B
-```
-где веса зависят от оттенка:
-- для красных тонов → `w_R = red/100`, `w_G = 0`, `w_B = 0` (но с плавным переходом)
-- для жёлтых → комбинация `red` и `green`
-- для зелёных → `green`
-- для цианов → `green` и `blue`
-- для синих → `blue`
-- для пурпурных → `red` и `blue`
-
-Реализация через интерполяцию по оттенку (hue):
-```python
-hue = cv2.cvtColor(img_rgb, cv2.COLOR_RGB2HSV)[:,:,0]  # 0..179
-# задаём веса для каждого цвета в градусах (0=красный, 30=жёлтый, 60=зелёный, 90=циан, 120=синий, 150=пурпурный)
-color_weights = {
-    0: (red/100, 0, 0),
-    30: (red/100, green/100, 0),
-    60: (0, green/100, 0),
-    90: (0, green/100, blue/100),
-    120: (0, 0, blue/100),
-    150: (red/100, 0, blue/100)
-}
-# для каждого пикселя интерполируем веса по hue
-```
-
----
-
-### 2. **Selective Color** (функция `apply_selective_color`)
-⚠️ **Неточность**: маска для выбранного цвета является **бинарной** (по жёстким порогам HSV), тогда как в фотошопе коррекция применяется плавно, пропорционально близости пикселя к целевому цвету.
-
-**Улучшение**: использовать не бинарную маску, а весовой коэффициент от 0 до 1, вычисляемый на основе расстояния в цветовом пространстве (например, в HSV).  
-Пример для красного:
-```python
-hue_dist = np.minimum(np.abs(h - 0), np.abs(h - 180))  # красный около 0 или 180
-mask = np.exp(-hue_dist**2 / sigma**2) * (s > 30)  # гауссово взвешивание
-```
-Аналогично для других цветов.
-
-Формула преобразования CMYK в RGB **верна**:
-- `K = 1 - max(R,G,B)`
-- `C = (1 - R - K) / (1 - K + eps)`
-- `M = (1 - G - K) / (1 - K + eps)`
-- `Y = (1 - B - K) / (1 - K + eps)`
-- После добавления поправок обратный переход:
-  - `R = 1 - C - K`
-  - `G = 1 - M - K`
-  - `B = 1 - Y - K`
-
----
-
-### 3. **Levels** (`apply_levels`)
-✅ **Формула верна**:
-```
-normalized = (img - in_min) / (in_max - in_min)
-result = clamp(normalized^(1/gamma), 0, 1) * 255
-```
-
----
-
-### 4. **Exposure** (`apply_exposure`)
-✅ **Формула верна** (экспозиция в стопах):
-```
-multiplier = 2^(exposure/100)
-result = img * multiplier + offset/100
-```
-
----
-
-### 5. **Color Balance** (`apply_color_balance`)
-✅ **Маски и формулы коррекции** соответствуют распространённому подходу:
-- Яркость вычисляется по стандартной формуле `0.299*R + 0.587*G + 0.114*B`.
-- Маски теней, средних тонов и светов строятся через кусочно-линейные функции.
-- Коррекция добавляется к соответствующим каналам (R,G,B) с учётом знака (положительное → Red/Green/Blue, отрицательное → Cyan/Magenta/Yellow).
-
----
-
-### 6. **Channel Mixer** (`apply_channel_mixer`)
-✅ **Формула полностью корректна**:
-```
-new_R = R * (red_red/100) + G * (red_green/100) + B * (red_blue/100)
-new_G = R * (green_red/100) + G * (green_green/100) + B * (green_blue/100)
-new_B = R * (blue_red/100) + G * (blue_green/100) + B * (blue_blue/100)
-```
-с последующим клиппированием в [0,1].
-
----
-
-### Рекомендации по исправлению
-1. **Переписать `apply_black_and_white`** с учётом всех шести параметров (красный, жёлтый, зелёный, циан, синий, пурпурный) с использованием интерполяции по оттенку.
-2. **Заменить бинарные маски в `apply_selective_color`** на плавные веса (например, через гауссово расстояние по оттенку) для более точного соответствия фотошопу.
-3. Остальные функции оставить без изменений – они работают корректно.
-
-При необходимости могу предоставить готовый исправленный код для `apply_black_and_white` и `apply_selective_color`.