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https://github.com/whowechina/ju_pico.git
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619 lines
25 KiB
Python
619 lines
25 KiB
Python
import os
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import sys
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from PIL import Image, ImageColor
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def format_c_array(array, line_width=80):
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"""
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Format a C array string with line breaks to ensure each line's width is within the limit.
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:param array: List of array elements as strings.
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:param line_width: Maximum width of each line.
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:return: Formatted C array string.
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"""
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formatted_lines = []
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current_line = []
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current_length = 0
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for item in array:
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item_length = len(item) + 2 # Account for ", "
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if current_length + item_length > line_width:
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formatted_lines.append(", ".join(current_line))
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current_line = []
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current_length = 0
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current_line.append(item)
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current_length += item_length
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if current_line:
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formatted_lines.append(", ".join(current_line))
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return ",\n ".join(formatted_lines)
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def image_to_c_array(image, name, palette_size):
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"""
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Convert an image to a C array representation.
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:param image: The image to convert (palette mode)
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:param name: The base name for the C arrays
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:param palette_size: The size of the palette (256 or 16)
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:return: Tuple of (palette_c_array, pixel_c_array)
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"""
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# Extract palette and pixel data
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palette = image.getpalette()[:palette_size * 3]
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pixels = list(image.getdata())
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# Convert palette to 0x00RRGGBB format (RGB only, no alpha)
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palette_array = [
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f"0x{(palette[i] << 16 | palette[i + 1] << 8 | palette[i + 2]):06x}"
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for i in range(0, len(palette), 3)
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]
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# Convert pixels to hex format
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if palette_size == 16:
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# Pack two 4-bit pixels into one byte
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packed_pixels = []
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for i in range(0, len(pixels), 2):
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pixel1 = pixels[i] & 0x0F
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pixel2 = pixels[i + 1] & 0x0F if i + 1 < len(pixels) else 0
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packed_byte = (pixel1 << 4) | pixel2
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packed_pixels.append(f"0x{packed_byte:02x}")
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pixel_array = packed_pixels
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else:
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# 256-color palette uses one byte per pixel
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pixel_array = [f"0x{pixel:02x}" for pixel in pixels]
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# 正确的命名逻辑
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if palette_size == 16:
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pal_suffix, pix_suffix = "pal4", "pix4"
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else: # palette_size == 256
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pal_suffix, pix_suffix = "pal8", "pix8"
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palette_c_array = f"const uint32_t {name}_{pal_suffix}[] = {{\n {format_c_array(palette_array)}\n}};"
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pixel_c_array = f"const uint8_t {name}_{pix_suffix}[] = {{\n {format_c_array(pixel_array)}\n}};"
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return palette_c_array, pixel_c_array
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def image_to_c_array_5bit_palette_3bit_alpha(image, alpha_data, name):
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"""
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Convert image to 5-bit palette + 3-bit alpha combined format
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Each pixel: [7:5] = 3-bit alpha, [4:0] = 5-bit palette index
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"""
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palette_size = 32
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palette = image.getpalette()[:palette_size * 3]
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pixels = list(image.getdata())
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# Quantize alpha to 3-bit (8 levels: 0, 36, 72, 108, 144, 180, 216, 255)
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alpha_3bit = [(a * 7 // 255) for a in alpha_data] # Scale to 0-7
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# Combine: [7:5] = alpha, [4:0] = palette_index
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combined_pixels = []
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for i, pixel_idx in enumerate(pixels):
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alpha_val = alpha_3bit[i] & 0x07
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pixel_val = pixel_idx & 0x1F
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combined_byte = (alpha_val << 5) | pixel_val
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combined_pixels.append(f"0x{combined_byte:02x}")
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palette_array = [
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f"0x{(palette[i] << 16 | palette[i + 1] << 8 | palette[i + 2]):06x}"
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for i in range(0, len(palette), 3)
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]
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palette_c_array = f"const uint32_t {name}_pal5[] = {{\n {format_c_array(palette_array)}\n}};"
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pixel_c_array = f"const uint8_t {name}_pix5[] = {{\n {format_c_array(combined_pixels)}\n}};"
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return palette_c_array, pixel_c_array
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def image_to_c_array_24bit(image, name):
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"""
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Convert an image to 24-bit RGB C array representation (no palette).
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:param image: The image to convert (RGB/RGBA mode)
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:param name: The base name for the C array
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:return: RGB pixel C array
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"""
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# Convert to RGB if needed
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if image.mode != 'RGBA':
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rgb_image = image.convert('RGBA')
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else:
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rgb_image = image
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pixels = list(rgb_image.getdata())
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# Convert to 0x00RRGGBB format
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pixel_array = [f"0x{(a << 24 | r << 16 | g << 8 | b):08x}" for r, g, b, a in pixels]
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pixel_c_array = f"const uint32_t {name}_pix24[] = {{\n {format_c_array(pixel_array)}\n}};"
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return pixel_c_array
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def quantize_alpha(alpha_data, alpha_bits):
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"""
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Quantize alpha data to specified bit depth
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:param alpha_data: List of alpha values (0-255)
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:param alpha_bits: Target bit depth (2, 4, or 8)
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:return: List of quantized alpha values
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"""
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if alpha_bits == 2:
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# 2-bit: 4 levels (0, 85, 170, 255)
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quantized_alpha = []
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for a in alpha_data:
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if a < 64:
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quantized_alpha.append(0) # 完全透明
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elif a < 128:
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quantized_alpha.append(85) # 1/3透明
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elif a < 192:
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quantized_alpha.append(170) # 2/3透明
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else:
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quantized_alpha.append(255) # 完全不透明
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return quantized_alpha
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elif alpha_bits == 4:
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# 4-bit: 16 levels (0, 17, 34, ..., 255)
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return [(a >> 4) << 4 for a in alpha_data]
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else: # alpha_bits == 8
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# 8-bit: keep original values
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return alpha_data
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def generate_alpha_array(name, alpha_data, alpha_bits):
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"""
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为所有模式生成alpha数组（支持2-bit, 4-bit, 8-bit打包）
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"""
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if not alpha_data or len(alpha_data) == 0:
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return ""
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print(f" Generating {alpha_bits}-bit alpha array for {name}")
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# 量化alpha数据
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quantized_alpha = quantize_alpha(alpha_data, alpha_bits)
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if alpha_bits == 2:
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# 将alpha值转换为2bit (0,1,2,3)
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alpha_2bit = []
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for a in quantized_alpha:
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if a == 0:
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alpha_2bit.append(0)
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elif a == 85:
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alpha_2bit.append(1)
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elif a == 170:
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alpha_2bit.append(2)
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else: # 255
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alpha_2bit.append(3)
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# 2bit alpha打包：每字节4个alpha值
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packed_alpha = []
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for i in range(0, len(alpha_2bit), 4):
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byte_value = 0
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for j in range(4):
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if i + j < len(alpha_2bit):
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alpha_value = alpha_2bit[i + j] & 0x03
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byte_value |= (alpha_value << ((3 - j) * 2))
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packed_alpha.append(f"0x{byte_value:02x}")
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alpha_c_array = f"const uint8_t {name}_a{alpha_bits}[] = {{\n {format_c_array(packed_alpha)}\n}};"
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print(f" Alpha array generated with {len(packed_alpha)} bytes")
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elif alpha_bits == 4:
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# 将alpha值转换为4bit (0-15)
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alpha_4bit = [a >> 4 for a in quantized_alpha]
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# 4bit alpha打包：每字节2个alpha值
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packed_alpha = []
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for i in range(0, len(alpha_4bit), 2):
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alpha1 = alpha_4bit[i] & 0x0F
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alpha2 = alpha_4bit[i + 1] & 0x0F if i + 1 < len(alpha_4bit) else 0
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byte_value = (alpha1 << 4) | alpha2
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packed_alpha.append(f"0x{byte_value:02x}")
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alpha_c_array = f"const uint8_t {name}_a{alpha_bits}[] = {{\n {format_c_array(packed_alpha)}\n}};"
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print(f" Alpha array generated with {len(packed_alpha)} bytes")
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else: # alpha_bits == 8
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# 8bit alpha：每字节1个alpha值
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alpha_array = [f"0x{a:02x}" for a in quantized_alpha]
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alpha_c_array = f"const uint8_t {name}_a{alpha_bits}[] = {{\n {format_c_array(alpha_array)}\n}};"
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print(f" Alpha array generated with {len(alpha_array)} bytes")
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return alpha_c_array
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def process_single_frame(input_file, target_size, alpha_bits):
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"""
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Process a single PNG file as one frame (square image)
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:param input_file: Path to input PNG file (single frame)
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:param target_size: Tuple specifying the target size for the frame (width, height)
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:param alpha_bits: Alpha channel bit depth (2, 4, or 8)
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:return: Dictionary containing processed image data
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"""
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with Image.open(input_file) as img:
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# 总是转换为RGBA以保留alpha信息
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if img.mode != "RGBA":
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img = img.convert("RGBA")
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# 调整到目标大小
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frame = img.resize(target_size, Image.LANCZOS)
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# 从帧中提取alpha数据
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frame_pixels = list(frame.getdata())
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alpha_data = [a for r, g, b, a in frame_pixels]
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# 创建不透明版本用于调色板转换
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opaque_pixels = [(r, g, b, 255) for r, g, b, a in frame_pixels]
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opaque_frame = Image.new("RGBA", frame.size)
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opaque_frame.putdata(opaque_pixels)
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# 转换为RGB用于调色板生成
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rgb_version = opaque_frame.convert("RGB")
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palette_256_image = rgb_version.convert("P", palette=Image.ADAPTIVE, colors=256)
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palette_16_image = rgb_version.convert("P", palette=Image.ADAPTIVE, colors=16)
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palette_32_image = rgb_version.convert("P", palette=Image.ADAPTIVE, colors=32)
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return {
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'frame': frame,
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'palette_256_frame': palette_256_image,
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'palette_16_frame': palette_16_image,
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'palette_32_frame': palette_32_image,
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'alpha_data': alpha_data
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}
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def process_multiple_frames(input_files, target_size, alpha_bits, save_png=False):
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"""
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Process multiple PNG files as animation frames
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:param input_files: List of paths to input PNG files
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:param target_size: Tuple specifying the target size for each frame (width, height)
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:param alpha_bits: Alpha channel bit depth (2, 4, or 8)
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:param save_png: Whether to save processed PNG files
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:return: Dictionary containing processed image data
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"""
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if not input_files:
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raise ValueError("No input files provided")
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frame_count = len(input_files)
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output_width = target_size[0]
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output_height = target_size[1] * frame_count
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# 创建输出图像来保存所有帧（纵向排列，用于生成C数组）
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output_image = Image.new("RGBA", (output_width, output_height), (0, 0, 0, 0))
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# 创建预览图像来保存所有帧（横向排列，用于预览）
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preview_width = target_size[0] * frame_count
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preview_height = target_size[1]
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preview_image = Image.new("RGBA", (preview_width, preview_height), (0, 0, 0, 0))
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all_alpha_data = []
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# 处理每一帧
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processed_frames = []
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for i, input_file in enumerate(input_files):
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print(f" Processing frame {i+1}/{frame_count}: {os.path.basename(input_file)}")
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frame_data = process_single_frame(input_file, target_size, alpha_bits)
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processed_frames.append(frame_data)
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# 将帧添加到输出图像（纵向排列）
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output_upper = i * target_size[1]
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output_image.paste(frame_data['frame'], (0, output_upper))
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# 将帧添加到预览图像（横向排列）
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preview_left = i * target_size[0]
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preview_image.paste(frame_data['frame'], (preview_left, 0))
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# 收集alpha数据
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all_alpha_data.extend(frame_data['alpha_data'])
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# 创建组合的调色板图像
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final_pixels = list(output_image.getdata())
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opaque_pixels = [(r, g, b, 255) for r, g, b, a in final_pixels]
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opaque_image = Image.new("RGBA", output_image.size)
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opaque_image.putdata(opaque_pixels)
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rgb_version = opaque_image.convert("RGB")
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palette_256_image = rgb_version.convert("P", palette=Image.ADAPTIVE, colors=256)
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palette_16_image = rgb_version.convert("P", palette=Image.ADAPTIVE, colors=16)
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palette_32_image = rgb_version.convert("P", palette=Image.ADAPTIVE, colors=32)
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print(f" Combined {frame_count} frames, total alpha data: {len(all_alpha_data)}")
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print(f" Output image size: {output_image.size}")
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print(f" Preview image size: {preview_image.size}")
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return {
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'output_image': output_image,
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'preview_image': preview_image, # 新增：横向排列的预览图像
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'palette_256_image': palette_256_image,
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'palette_16_image': palette_16_image,
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'palette_32_image': palette_32_image,
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'has_alpha': True,
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'alpha_data': all_alpha_data,
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'alpha_bits': alpha_bits,
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'frame_count': frame_count
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}
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def save_as_c_header(output_dir, name, all_images, alpha_bits, color_depth=4, target_size=(13, 13)):
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"""
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Save all trail image data as a C header file with trail_res_t structure
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:param color_depth: Color depth (4, 8, or 24)
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:param target_size: Tuple specifying the target size for each frame (width, height)
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"""
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name_clean = name.replace('-', '_')
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header_file = os.path.join(output_dir, f"{name}.h")
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# 生成带色深和alpha深度的宏后缀
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if color_depth == 24:
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suffix = "_c24"
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elif color_depth == 5:
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suffix = "_c5"
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else:
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suffix = f"_c{color_depth}_a{alpha_bits}"
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with open(header_file, "w") as f:
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f.write(f"#ifndef {name.upper()}{suffix.upper()}_H\n")
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f.write(f"#define {name.upper()}{suffix.upper()}_H\n\n")
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f.write(f"#include <stdint.h>\n\n")
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# Generate DEF macro for trail_res_t structure
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f.write(f"/* Trail definition macro */\n")
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f.write(f"#define DEF_{name}{suffix} {{ \\\n")
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# Generate each animation field according to trail_res_t structure
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trail_types = ['stem', 'marker_off', 'marker_on', 'marker_glow', 'arrow_tail', 'arrow', 'arrow_grow']
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for i, trail_type in enumerate(trail_types):
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if trail_type in all_images:
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image_data = all_images[trail_type]
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frame_num = image_data['frame_count']
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alpha_data = image_data.get('alpha_data', None)
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print(f" {trail_type}: color_depth={color_depth}, alpha_depth={alpha_bits}, frames={frame_num}")
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# 构建指针名称
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if color_depth == 24:
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palette_ptr = "NULL"
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img_ptr = f"{name_clean}_{trail_type}_pix24"
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elif color_depth == 5:
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palette_ptr = f"{name_clean}_{trail_type}_pal5"
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img_ptr = f"{name_clean}_{trail_type}_pix5"
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elif color_depth == 4:
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palette_ptr = f"{name_clean}_{trail_type}_pal4"
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img_ptr = f"{name_clean}_{trail_type}_pix4"
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else: # color_depth == 8
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palette_ptr = f"{name_clean}_{trail_type}_pal8"
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img_ptr = f"{name_clean}_{trail_type}_pix8"
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# Alpha指针
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if color_depth == 5:
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alpha_ptr = "NULL"
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elif alpha_data and len(alpha_data) > 0 and color_depth != 24:
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alpha_ptr = f"{name_clean}_{trail_type}_a{alpha_bits}"
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else:
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alpha_ptr = "NULL"
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# animation_t结构格式: color_depth, alpha_depth, image_size, frame_num, palette, alpha, img_union
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image_size = target_size[0]
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if color_depth == 24:
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f.write(f" .{trail_type} = {{ {color_depth}, 0, {image_size}, {frame_num}, {palette_ptr}, {alpha_ptr}, .img32 = {img_ptr} }}")
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elif color_depth == 5:
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f.write(f" .{trail_type} = {{ {color_depth}, 3, {image_size}, {frame_num}, {palette_ptr}, {alpha_ptr}, .img8 = {img_ptr} }}")
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else:
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f.write(f" .{trail_type} = {{ {color_depth}, {alpha_bits}, {image_size}, {frame_num}, {palette_ptr}, {alpha_ptr}, .img8 = {img_ptr} }}")
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else:
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f.write(f" .{trail_type} = {{ 0, 0, 0, 0, NULL, NULL, .img8 = NULL }}")
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if i < len(trail_types) - 1:
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f.write(f", \\\n")
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else:
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f.write(f" \\\n")
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f.write(f"}}\n\n")
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# Write arrays for each trail type
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for trail_type, image_data in all_images.items():
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alpha_data = image_data.get('alpha_data', None)
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print(f" Writing arrays for {trail_type}: depth={color_depth}")
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f.write(f"/* {trail_type.upper()} - Using {color_depth}-bit color depth")
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if color_depth == 5:
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f.write(f" with 3-bit alpha (combined)")
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elif alpha_data and len(alpha_data) > 0 and color_depth != 24:
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f.write(f" with {alpha_bits}-bit alpha")
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f.write(" */\n")
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if color_depth == 24:
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# 24-bit arrays (no palette)
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pixel_array = image_to_c_array_24bit(
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image_data['output_image'],
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f"{name_clean}_{trail_type}"
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)
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f.write(f"{pixel_array}\n\n")
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elif color_depth == 5:
|
|
# 5-bit palette + 3-bit alpha combined
|
|
palette_array, pixel_array = image_to_c_array_5bit_palette_3bit_alpha(
|
|
image_data['palette_32_image'],
|
|
alpha_data,
|
|
f"{name_clean}_{trail_type}"
|
|
)
|
|
f.write(f"{palette_array}\n\n")
|
|
f.write(f"{pixel_array}\n\n")
|
|
|
|
elif color_depth == 4:
|
|
# 4-bit arrays
|
|
palette_array, pixel_array = image_to_c_array(
|
|
image_data['palette_16_image'],
|
|
f"{name_clean}_{trail_type}",
|
|
16
|
|
)
|
|
f.write(f"{palette_array}\n\n")
|
|
f.write(f"{pixel_array}\n\n")
|
|
|
|
else: # color_depth == 8
|
|
# 8-bit arrays
|
|
palette_array, pixel_array = image_to_c_array(
|
|
image_data['palette_256_image'],
|
|
f"{name_clean}_{trail_type}",
|
|
256
|
|
)
|
|
f.write(f"{palette_array}\n\n")
|
|
f.write(f"{pixel_array}\n\n")
|
|
|
|
# 生成alpha数组（如果有）
|
|
if alpha_data and len(alpha_data) > 0 and color_depth not in [24, 5]:
|
|
alpha_array = generate_alpha_array(f"{name_clean}_{trail_type}", alpha_data, alpha_bits)
|
|
f.write(f"{alpha_array}\n\n")
|
|
|
|
f.write(f"#endif // {name.upper()}{suffix.upper()}_H\n")
|
|
|
|
print(f"Header file saved to {header_file}")
|
|
|
|
def process_trail_directory(input_dir, output_dir, frame_size=13, color_depth=4, alpha_bits=2, save_png=False):
|
|
"""
|
|
Process LN0001_M*.png files in the input directory for trail animations
|
|
|
|
:param input_dir: Input directory containing LN0001_M*.png files
|
|
:param output_dir: Output directory for generated files
|
|
:param frame_size: Target frame size in pixels
|
|
:param color_depth: Color depth (4, 8, or 24)
|
|
:param alpha_bits: Alpha channel bit depth (2, 4, or 8)
|
|
:param save_png: Whether to save processed PNG files
|
|
"""
|
|
if not os.path.exists(output_dir):
|
|
os.makedirs(output_dir)
|
|
|
|
# Define trail types and their expected file patterns
|
|
trail_configs = {
|
|
'stem': {'pattern': 'LN0001_M0', 'range': (1, 32)}, # M001-M032
|
|
'marker_off': {'pattern': 'LN0001_M1', 'range': (0, 31)}, # M100-M131
|
|
'marker_on': {'pattern': 'LN0001_M2', 'range': (0, 31)}, # M200-M231
|
|
'marker_glow': {'pattern': 'LN0001_M3', 'range': (0, 31)}, # M300-M331
|
|
'arrow_tail': {'pattern': 'LN0001_M4', 'range': (0, 31)}, # M400-M431
|
|
'arrow': {'pattern': 'LN0001_M5', 'range': (0, 31)}, # M500-M531
|
|
'arrow_grow': {'pattern': 'LN0001_M6', 'range': (0, 31)} # M600-M631
|
|
}
|
|
|
|
target_size = (frame_size, frame_size)
|
|
all_images = {}
|
|
|
|
print(f"Processing trail directory: {input_dir}")
|
|
|
|
for trail_type, config in trail_configs.items():
|
|
# Look for files matching the pattern
|
|
found_files = []
|
|
pattern = config['pattern']
|
|
start_num, end_num = config['range']
|
|
|
|
# Collect all files with the pattern
|
|
for i in range(start_num, end_num + 1):
|
|
if trail_type == 'stem':
|
|
# stem uses M001-M032
|
|
filename = f"{pattern}{i:02d}.png"
|
|
else:
|
|
# others use M100-M131, M200-M231, etc.
|
|
filename = f"{pattern}{i:02d}.png"
|
|
|
|
filepath = os.path.join(input_dir, filename)
|
|
if os.path.isfile(filepath):
|
|
found_files.append(filepath)
|
|
|
|
if found_files:
|
|
print(f" Processing {trail_type}: found {len(found_files)} files")
|
|
|
|
try:
|
|
# Sort files to ensure correct frame order
|
|
found_files.sort()
|
|
|
|
image_data = process_multiple_frames(
|
|
found_files,
|
|
target_size,
|
|
alpha_bits,
|
|
save_png
|
|
)
|
|
all_images[trail_type] = image_data
|
|
print(f" Successfully processed {trail_type} with {image_data['frame_count']} frames")
|
|
except Exception as e:
|
|
print(f" Failed to process {trail_type}: {e}")
|
|
else:
|
|
print(f" Warning: No files found for {trail_type} (pattern: {pattern})")
|
|
|
|
# Generate C header file if any images were processed
|
|
if all_images:
|
|
base_name = f"trail{frame_size}" # trail + frame_size, e.g., trail13
|
|
print(f" Using {color_depth}-bit color depth with {alpha_bits}-bit alpha")
|
|
save_as_c_header(output_dir, base_name, all_images, alpha_bits, color_depth, target_size)
|
|
|
|
# Save preview PNG files for each animation type
|
|
if save_png:
|
|
print(f" Saving preview PNG files...")
|
|
for trail_type, image_data in all_images.items():
|
|
preview_file = os.path.join(output_dir, f"{base_name}_{trail_type}_preview.png")
|
|
image_data['preview_image'].save(preview_file)
|
|
print(f" Saved preview: {preview_file}")
|
|
else:
|
|
print("No trail images were processed!")
|
|
|
|
if __name__ == "__main__":
|
|
if len(sys.argv) < 3 or len(sys.argv) > 7:
|
|
print("Usage: python3 trans_trail.py <input_directory> <output_directory> [frame_size] [color_depth] [alpha_bits] [png]")
|
|
print(" frame_size: Frame size in pixels (default: 13)")
|
|
print(" color_depth: 4, 5, 8, or 24 (default: 4)")
|
|
print(" alpha_bits: 2, 4, or 8 (default: 2)")
|
|
print(" Add 'png' at the end to save PNG files (default: only generate .h files)")
|
|
print("Examples:")
|
|
print(" python3 trans_trail.py input output")
|
|
print(" python3 trans_trail.py input output 16")
|
|
print(" python3 trans_trail.py input output 13 8")
|
|
print(" python3 trans_trail.py input output 13 4 2")
|
|
print(" python3 trans_trail.py input output 16 24 8 png")
|
|
print("")
|
|
print("Expected input files (each file is a single frame):")
|
|
print(" LN0001_M001.png, LN0001_M002.png, ..., LN0001_M032.png (stem)")
|
|
print(" LN0001_M100.png, LN0001_M101.png, ..., LN0001_M131.png (marker_off)")
|
|
print(" LN0001_M200.png, LN0001_M201.png, ..., LN0001_M231.png (marker_on)")
|
|
print(" LN0001_M300.png, LN0001_M301.png, ..., LN0001_M331.png (marker_glow)")
|
|
print(" LN0001_M400.png, LN0001_M401.png, ..., LN0001_M431.png (arrow_tail)")
|
|
print(" LN0001_M500.png, LN0001_M501.png, ..., LN0001_M531.png (arrow)")
|
|
print(" LN0001_M600.png, LN0001_M601.png, ..., LN0001_M631.png (arrow_grow)")
|
|
sys.exit(1)
|
|
|
|
input_dir = sys.argv[1]
|
|
output_dir = sys.argv[2]
|
|
|
|
# Parse parameters
|
|
frame_size = 13 # default
|
|
color_depth = 4 # default
|
|
alpha_bits = 2 # default
|
|
save_png = False
|
|
|
|
# Parse remaining arguments
|
|
remaining_args = sys.argv[3:]
|
|
arg_index = 0
|
|
|
|
for arg in remaining_args:
|
|
if arg.lower() == 'png':
|
|
save_png = True
|
|
elif arg.isdigit() and arg_index == 0: # frame_size
|
|
frame_size = int(arg)
|
|
arg_index += 1
|
|
elif arg in ['4', '5', '8', '24'] and arg_index == 1: # color_depth
|
|
color_depth = int(arg)
|
|
arg_index += 1
|
|
elif arg in ['2', '4', '8'] and arg_index == 2: # alpha_bits
|
|
alpha_bits = int(arg)
|
|
arg_index += 1
|
|
else:
|
|
print(f"Error: Invalid argument '{arg}' or arguments in wrong order.")
|
|
print("Arguments order: [frame_size] [color_depth] [alpha_bits] [png]")
|
|
print("Frame size must be a positive integer.")
|
|
print("Color depth must be 4, 5, 8, or 24.")
|
|
print("Alpha bits must be 2, 4, or 8.")
|
|
sys.exit(1)
|
|
|
|
if not os.path.isdir(input_dir):
|
|
print(f"Error: {input_dir} is not a valid directory.")
|
|
sys.exit(1)
|
|
|
|
print(f"Processing with {frame_size}x{frame_size} frame size, {color_depth}-bit color depth and {alpha_bits}-bit alpha channel")
|
|
print(f"Save PNG files: {'Yes' if save_png else 'No (only .h files)'}")
|
|
|
|
process_trail_directory(input_dir, output_dir, frame_size, color_depth, alpha_bits, save_png)
|