Image generation?
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@@ -3,6 +3,5 @@
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# This software is released under the MIT License.
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# https://opensource.org/licenses/MIT
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add_asset(test.palette.png)
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# add_asset(first.palette.png)
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# add_asset(entities.tsx)
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add_asset(first.palette.png)
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add_asset(entities.tsx)
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@@ -40,18 +40,6 @@ errorret_t assetInit(void) {
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// Did we open the asset?
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if(ASSET.zip == NULL) errorThrow("Failed to open asset file.");
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// Get "test.palette.dpf" file.
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zip_file_t *file = zip_fopen(ASSET.zip, "test.palette.dpf", 0);
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if(file == NULL) errorThrow("Failed to open test.palette.dpf in asset file.");
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// Read it
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char_t buffer[256];
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zip_int64_t n = zip_fread(file, buffer, 256);
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if(n < 0) {
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zip_fclose(file);
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errorThrow("Failed to read test.palette.dpf in asset file.");
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}
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errorOk();
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}
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@@ -98,6 +86,8 @@ void assetLoad(
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return;
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}
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printf("Loading asset: %s\n", filename);
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// Determine length of the file (uncompressed)
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struct zip_stat st;
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if(zip_stat(ASSET.zip, filename, 0, &st) != 0) {
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@@ -35,7 +35,7 @@ errorret_t engineInit(void) {
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errorChain(assetInit());
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errorChain(displayInit());
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assetLoad("test.palette.dpf", assetLoadCallback, NULL);
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assetLoad("first.palette.dpf", assetLoadCallback, NULL);
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if(ASSET.state == ASSET_STATE_ERROR) errorChain(ASSET.error);
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sceneTestAdd();
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@@ -2,6 +2,10 @@ import os
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from args import args
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from PIL import Image
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import struct
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import sys
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from assethelpers import getAssetRelativePath
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PALETTES = []
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def extractPaletteFromImage(image):
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# goes through and finds all unique colors in the image
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@@ -10,6 +14,9 @@ def extractPaletteFromImage(image):
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pixels = list(image.getdata())
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uniqueColors = []
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for color in pixels:
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# We treat alpha 0 as rgba(0,0,0,0) for palette purposes
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if color[3] == 0:
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color = (0, 0, 0, 0)
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if color not in uniqueColors:
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uniqueColors.append(color)
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return uniqueColors
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@@ -40,21 +47,70 @@ def processPalette(assetPath):
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outputRelative = os.path.relpath(outputFilePath, args.output_assets)
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return {
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palette = {
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"outputFile": outputRelative,
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"paletteColors": len(pixels),
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"files": [ outputFilePath ]
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"files": [ outputFilePath ],
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"pixels": pixels
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}
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PALETTES.append(palette)
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return palette
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def processImage(assetPath):
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print(f"Processing image: {assetPath}")
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# Load the image
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image = Image.open(assetPath)
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pixels = extractPaletteFromImage(image)
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# Get the image's palette because we are going to try and find a matching
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# palette from the already processed palettes...
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imagePalette = extractPaletteFromImage(image)
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# Now find which palette has every single color in this image's palette
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paletteIndex = -1
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for i, palette in enumerate(PALETTES):
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paletteColors = palette["pixels"]
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if all(color in paletteColors for color in imagePalette):
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paletteIndex = i
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break
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# Did we manage to find a matching palette?
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if paletteIndex == -1:
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print(f"Error: No matching palette found for image {assetPath}. Please process a suitable palette first.")
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sys.exit(1)
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# We found the palette, so now we can convert the image to use that palette
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palette = PALETTES[paletteIndex]
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indexes = []
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for color in imagePalette:
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if color in palette["pixels"]:
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index = palette["pixels"].index(color)
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indexes.append(index)
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else:
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print(f"Error: Color {color} in image {assetPath} not found in palette.")
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sys.exit(1)
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relative = getAssetRelativePath(assetPath)
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fileNameWithoutExt = os.path.splitext(os.path.basename(assetPath))[0]
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outputFileRelative = os.path.join(os.path.dirname(relative), f"{fileNameWithoutExt}.dpi")
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outputFilePath = os.path.join(args.output_assets, outputFileRelative)
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os.makedirs(os.path.dirname(outputFilePath), exist_ok=True)
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with open(outputFilePath, "wb") as f:
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# Write header
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f.write(b"DPI") # Dusk Palettized Image
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f.write(struct.pack("<i", image.width)) # Width
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f.write(struct.pack("<i", image.height)) # Height
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f.write(struct.pack("<i", paletteIndex)) # Palette index
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# Write uint8_t pixel index.
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for index in indexes:
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f.write(struct.pack("B", index))
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return {
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# "outputFile": os.path.relpath(assetPath, args.input_assets),
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# "paletteColors": len(pixels),
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"files": [ assetPath ]
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"paletteIndex": paletteIndex,
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"palette": PALETTES[paletteIndex],
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"outputFile": outputFileRelative,
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"files": [ assetPath, outputFilePath ]
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}
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@@ -47,32 +47,28 @@ def processTileset(assetPath):
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relativeFile = getAssetRelativePath(assetPath)
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relativeDir = os.path.dirname(relativeFile)
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data = "DTF" # Header for Dusk Tileset Format
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# Write width (int32_t)
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data += tilewidth.to_bytes(4, byteorder='little').decode('latin1')
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# Write height (int32_t)
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data += tileheight.to_bytes(4, byteorder='little').decode('latin1')
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# Write tilecount (int32_t)
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data += tilecount.to_bytes(4, byteorder='little').decode('latin1')
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# Write column count (int32_t)
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data += columns.to_bytes(4, byteorder='little').decode('latin1')
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# Write row count (int32_t)
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rows = (tilecount + columns - 1) // columns
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data += rows.to_bytes(4, byteorder='little').decode('latin1')
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buf = bytearray(b"DTF")
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buf += tilewidth.to_bytes(4, byteorder='little')
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buf += tileheight.to_bytes(4, byteorder='little')
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buf += tilecount.to_bytes(4, byteorder='little')
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buf += columns.to_bytes(4, byteorder='little')
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buf += rows.to_bytes(4, byteorder='little')
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# Write image source file name, padd to ASSET_FILE_NAME_MAX_LENGTH
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imageSourceBytes = image["outputFile"].encode('utf-8')
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data += len(imageSourceBytes).to_bytes(4, byteorder='little').decode('latin1')
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data += imageSourceBytes.decode('latin1')
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buf += len(imageSourceBytes).to_bytes(4, byteorder='little')
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buf += imageSourceBytes
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paddingLength = max(0, ASSET_FILE_NAME_MAX_LENGTH - len(imageSourceBytes))
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data += '\x00' * paddingLength
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buf += b'\x00' * paddingLength
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# Write to output file
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fileNameWithoutExt = os.path.splitext(os.path.basename(assetPath))[0]
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outputFilePath = os.path.join(args.output_assets, relativeDir, f"{fileNameWithoutExt}.dtf")
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os.makedirs(os.path.dirname(outputFilePath), exist_ok=True)
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with open(outputFilePath, 'wb') as f:
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f.write(data.encode('latin1'))
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f.write(buf)
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return {
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"outputFile": os.path.relpath(outputFilePath, args.output_assets),
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@@ -81,5 +77,6 @@ def processTileset(assetPath):
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"tileCount": tilecount,
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"columns": columns,
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"rows": rows,
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"image": image
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"image": image,
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"files": [ outputFilePath ] + image["files"]
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}
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