more interpolators, classic working with new design
parent
93d588f209
commit
cb62745a8a
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@ -94,7 +94,7 @@ class InfZoomer:
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if not self.outerZoom:
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self.contVW = ContinuousVideoWriter(self.out_config["video_filename"], self.main_frames[0],self.C.video_frame_rate,int(self.C.video_start_frame_dupe_amount))
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self.fnInterpolateFrames(self) # changes main_frame and writes to video
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self.fnInterpolateFrames() # changes main_frame and writes to video
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self.contVW.finish(self.main_frames[-1],int(self.C.video_last_frame_dupe_amount))
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@ -173,9 +173,10 @@ class InfZoomer:
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masked_images = []
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for idx, corner in enumerate(corners):
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white = Image.new("1", (new_width,new_height), 1)
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white = Image.new("1", (new_width,new_height), 0)
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draw = ImageDraw.Draw(white)
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draw.rectangle([corner[0], corner[1], corner[0]+512, corner[1]+512], fill=0)
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draw.rectangle([corner[0], corner[1], corner[0]+512, corner[1]+512], fill=1) #area of full inpaint
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draw.rectangle([left, top, left-1+original_width, top-1+original_height], fill=0) #preserve inner org img
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masked_images.append(white)
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outpaint_steps=self.C.num_outpainting_steps
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@ -188,7 +189,7 @@ class InfZoomer:
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(self.C.width, self.C.height), resample=Image.LANCZOS
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)
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if not self.outerZoom:
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if 0 == self.outerZoom:
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self.main_frames.append(currentImage.convert("RGB"))
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self.save2Collect(currentImage, self.out_config, f"exit_img.png")
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@ -235,6 +236,11 @@ class InfZoomer:
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processed.images[0]=self.main_frames[-1]
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self.save2Collect(processed.images[0], f"outpaint_step_{i}.png")
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# debug:
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for i in masked_images: processed.images.append(i)
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return processed
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@ -340,20 +346,100 @@ class InfZoomer:
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return processed
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def calculate_interpolation_steps(self, original_size, target_size, steps):
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def calculate_interpolation_steps_linear(self, original_size, target_size, steps):
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width, height = original_size
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target_width, target_height = target_size
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if width <= 0 or height <= 0 or target_width <= 0 or target_height <= 0 or steps <= 0:
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return None
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width_step = math.floor((width - target_width) / steps)
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height_step = math.floor((height - target_height) / steps)
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width_step = (width - target_width) / steps
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height_step = (height - target_height) / steps
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scaling_steps = [(width - i * width_step, height - i * height_step) for i in range(1,steps)]
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scaling_steps = [(round(width - i * width_step), round(height - i * height_step)) for i in range(1,steps)]
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return scaling_steps
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def calculate_interpolation_steps_goldenratio(self,original_size, target_size, steps):
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width, height = original_size
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target_width, target_height = target_size
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golden_ratio = (1 + 5 ** 0.5) / 2 - 1 # Approx. 0.618
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if width <= 0 or height <= 0 or target_width <= 0 or target_height <= 0 or steps <= 0:
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return None
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original_ratio = width / height
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scaling_steps = []
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for i in range(1, steps + 1):
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t = i / steps
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factor = 1 - golden_ratio * t
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new_width = width * factor + target_width * (1 - factor)
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new_height = height * factor + target_height * (1 - factor)
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floor_width, ceil_width = int(new_width // 1), int(new_width // 1 + 1)
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floor_height, ceil_height = int(new_height // 1), int(new_height // 1 + 1)
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floor_ratio = floor_width / floor_height
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ceil_ratio = ceil_width / ceil_height
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if abs(floor_ratio - original_ratio) < abs(ceil_ratio - original_ratio):
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new_width, new_height = floor_width, floor_height
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else:
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new_width, new_height = ceil_width, ceil_height
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scaling_steps.append((new_width, new_height))
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return scaling_steps
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def calculate_interpolation_steps_log(self, original_size, target_size, steps):
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width, height = original_size
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target_width, target_height = target_size
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if width <= 0 or height <= 0 or target_width <= 0 or target_height <= 0 or steps <= 0:
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return None
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original_ratio = width / height
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scaling_steps = []
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log_w_ratio = math.log(target_width / width) / steps
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log_h_ratio = math.log(target_height / height) / steps
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for i in range(1, steps):
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new_width = width * math.exp(i * log_w_ratio)
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new_height = height * math.exp(i * log_h_ratio)
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floor_width, ceil_width = int(new_width // 1), int(new_width // 1 + 1)
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floor_height, ceil_height = int(new_height // 1), int(new_height // 1 + 1)
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floor_ratio = floor_width / floor_height
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ceil_ratio = ceil_width / ceil_height
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if abs(floor_ratio - original_ratio) < abs(ceil_ratio - original_ratio):
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new_width, new_height = floor_width, floor_height
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else:
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new_width, new_height = ceil_width, ceil_height
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scaling_steps.append((new_width, new_height))
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# Add the last step that is one pixel away from the target size
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scaling_steps.append((target_width - 1, target_height - 1))
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return scaling_steps
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def calculate_interpolation_steps_exponential(self, original_size, target_size, steps,exponent=2):
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width, height = original_size
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target_width, target_height = target_size
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scaling_steps = []
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for i in range(1, steps + 1):
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t = i / steps
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factor = (1 - t) + t * (math.pow(t, exponent - 1))
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new_width = width * (1 - factor) + target_width * factor
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new_height = height * (1 - factor) + target_height * factor
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scaling_steps.append((math.floor(new_width), math.floor(new_height)))
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return scaling_steps
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def interpolateFramesOuterZoom(cls,self):
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@ -370,7 +456,9 @@ class InfZoomer:
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outzoomSize = (self.width+self.mask_width*2, self.height+self.mask_height*2)
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target_size = (self.width, self.height)
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scaling_steps = self.calculate_interpolation_steps(outzoomSize, target_size, self.num_interpol_frames)
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scaling_steps = self.calculate_interpolation_steps_linear(outzoomSize, target_size, self.num_interpol_frames)
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print(f"{scaling_steps}, length: {len(scaling_steps)}")
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for x,y in scaling_steps:
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@ -398,6 +486,16 @@ class InfZoomer:
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def interpolateFramesSmallCenter(self):
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if self.C.video_zoom_mode:
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firstImage = self.main_frames[0]
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else:
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firstImage = self.main_frames[-1]
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self.contVW = ContinuousVideoWriter(self.out_config["video_filename"],
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(firstImage,(self.width,self.height)),
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self.C.video_frame_rate,int(self.C.video_start_frame_dupe_amount))
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for i in range(len(self.main_frames) - 1):
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# interpolation steps between 2 inpainted images (=sequential zoom and crop)
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for j in range(self.num_interpol_frames - 1):
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@ -408,7 +506,8 @@ class InfZoomer:
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current_image = self.main_frames[i + 1]
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else:
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current_image = self.main_frames[i + 1]
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interpol_image = current_image
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self.save2Collect(interpol_image, f"interpol_img_{i}_{j}].png")
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