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tweaked compression node

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drunkplato 2025-01-14 17:16:50 +00:00 committed by Ubuntu
parent e907deff81
commit 3c5f2bd17d
1 changed files with 8 additions and 2 deletions
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10
custom_nodes/MemedeckComfyNodes/nodes_preprocessing.py
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@ -186,6 +186,7 @@ class MD_CompressAdjustNode:
}), }),
}, },
"optional": { "optional": {
"base_crf": ("INT", ),
"weights": ("STRING", { "weights": ("STRING", {
"multiline": True, "multiline": True,
"default": json.dumps({ "default": json.dumps({
@ -206,6 +207,7 @@ class MD_CompressAdjustNode:
CATEGORY = "MemeDeck" CATEGORY = "MemeDeck"
def __init__(self): def __init__(self):
self.base_crf = 28
# baseline values # baseline values
self.ideal_blockiness = 600 self.ideal_blockiness = 600
self.ideal_edge_density = 12 self.ideal_edge_density = 12
@ -270,7 +272,7 @@ class MD_CompressAdjustNode:
Calculates the target CRF based on analysis results and weights. Calculates the target CRF based on analysis results and weights.
""" """
target_crf = 28 + (blockiness_weight * (analysis_results["blockiness"] - ideal_blockiness)) \ target_crf = self.base_crf + (blockiness_weight * (analysis_results["blockiness"] - ideal_blockiness)) \
+ (edge_density_weight * (analysis_results["edge_density"] - ideal_edge_density)) \ + (edge_density_weight * (analysis_results["edge_density"] - ideal_edge_density)) \
+ (color_variation_weight * (analysis_results["color_variation"] - ideal_color_variation)) + (color_variation_weight * (analysis_results["color_variation"] - ideal_color_variation))
@ -279,11 +281,14 @@ class MD_CompressAdjustNode:
target_crf = round(target_crf, 2) target_crf = round(target_crf, 2)
return target_crf return target_crf
def tensor_to_video_and_back(self, image, desired_crf=28, width=832, height=832, weights=None): def tensor_to_video_and_back(self, image, desired_crf=28, width=832, height=832, weights=None, base_crf=28):
temp_dir = "temp_video" temp_dir = "temp_video"
filename = f"frame_{time.time()}".split('.')[0] filename = f"frame_{time.time()}".split('.')[0]
os.makedirs(temp_dir, exist_ok=True) os.makedirs(temp_dir, exist_ok=True)
if base_crf:
self.base_crf = base_crf
if weights: if weights:
weights = json.loads(weights) weights = json.loads(weights)
self.ideal_blockiness = weights["ideal_blockiness"] self.ideal_blockiness = weights["ideal_blockiness"]
@ -334,6 +339,7 @@ class MD_CompressAdjustNode:
image_cv2 = cv2.cvtColor(np.array(tensor2pil(image)), cv2.COLOR_RGB2BGR) image_cv2 = cv2.cvtColor(np.array(tensor2pil(image)), cv2.COLOR_RGB2BGR)
# calculate the crf based on the image # calculate the crf based on the image
analysis_results = self.analyze_compression_artifacts(image_cv2, width=width, height=height) analysis_results = self.analyze_compression_artifacts(image_cv2, width=width, height=height)
logger.info(f"compression analysis_results: {analysis_results}")
calculated_crf = self.calculate_crf(analysis_results, self.ideal_blockiness, self.ideal_edge_density, calculated_crf = self.calculate_crf(analysis_results, self.ideal_blockiness, self.ideal_edge_density,
self.ideal_color_variation, self.blockiness_weight, self.ideal_color_variation, self.blockiness_weight,
self.edge_density_weight, self.color_variation_weight) self.edge_density_weight, self.color_variation_weight)