improving rendering, added timers
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@ -234,7 +234,16 @@ import cairocffi as cairo
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# 1. Load Image and get Max Values in a 5x7 Grid
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def get_image_grid_max(image_path, grid_size=(15,15)):
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# Open image and convert to grayscale for pixel intensity
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img = ImageOps.expand(Image.open(image_path).convert('L'), border=200,fill=0)
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#img = ImageOps.expand(Image.open(image_path).convert('L'), border=200,fill=0)
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orig=Image.open(image_path).convert('L')
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logging.debug('orig image size is [{}]'.format(orig.size))
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img= Image.new(mode='L', size=(1224,1224), color=0)
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logging.debug('background image size is [{}]'.format(img.size))
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img.paste(orig,
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( (1224-orig.size[0])//2,
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(1224-orig.size[1])//2) )
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img.save("frame.png")
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width, height = img.size
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grid_w, grid_h = grid_size
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@ -249,13 +258,13 @@ def get_image_grid_max(image_path, grid_size=(15,15)):
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# Define box (left, upper, right, lower)
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box = (c * cell_w, r * cell_h, (c + 1) * cell_w, (r + 1) * cell_h)
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cell = img.crop(box)
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max_values[r, c] = np.median(np.array(cell))
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max_values[r, c] = np.mean(np.array(cell))
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return max_values
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# 2. Create 3D Line Chart using Cairo (No Matplotlib)
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def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
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def create_3d_line_chart_svg(data, output_path, svg_size=(1200, 1200)):
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surface = cairo.SVGSurface(output_path, svg_size[0], svg_size[1])
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cr = cairo.Context(surface)
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@ -265,8 +274,10 @@ def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
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# Simple Orthographic Projection Matrix (pseudo-3D)
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# Projects (x,y,z) -> (x+z/2, y+z/2)
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def project(x, y, z, scale=20, offset=(0, 0)):
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return (offset[0] + x * scale, offset[1] + y * scale + z * 1)
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def project(x, y, z, xscale=20, yscale=10, offset=(0, 0)):
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shelf = 0 if z == 0 else z+2
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#shelf = z
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return (offset[0] + x * xscale, offset[1] + y * yscale + shelf/2)
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#return (offset[0] + x * scale + z * 2, offset[1] + y * scale + z * 2)
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rows, cols = data.shape
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@ -278,16 +289,23 @@ def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
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# Draw Lines along rows
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cr.set_source_rgb(0, 0, 0) # Black lines
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cr.set_line_width(1.0)
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lastz = 0
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lasty = 0
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for r in range(rows):
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for c in range(cols):
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z = norm_data[r, c]
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x, y = project(c, r, -z, scale=800/cols) # -z to make higher values go "up" in 2D
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x, y = project(c, r, -z, xscale=800/cols, yscale=800/rows) # -z to make higher values go "up" in 2D
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if c == 0:
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cr.move_to(x, y+50)
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cr.line_to(x, y)
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else:
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if lastz == 0:
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cr.line_to(x, lasty)
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if z == 0 and lastz != 0:
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cr.line_to(x, lasty)
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cr.line_to(x, y)
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lastz=z
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lasty=y
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cr.move_to(x, y + 50)
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cr.close_path()
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cr.set_source_rgb(1,1,1)
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@ -313,9 +331,14 @@ def create_3d_line_chart_svg(data, output_path, svg_size=(800, 800)):
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# Process
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grid_max = get_image_grid_max(target_filename, grid_size=(50,30))
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t = Timerlog("Gridify png file").start()
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grid_max = get_image_grid_max(target_filename, grid_size=(80,80))
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print("Grid Max Values:\n", grid_max)
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logging.debug(t.end().report())
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# Plot
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create_3d_line_chart_svg(grid_max, target_region_name+".svg", svg_size=Image.open(target_filename).size)
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t = Timerlog("Convert to SVG").start()
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create_3d_line_chart_svg(grid_max, target_region_name+".svg", svg_size=(1200,1200))
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print("SVG file created: "+ target_region_name+".svg")
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logging.debug(t.end().report())
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