statedict export
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9861261592
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4c1af15a64
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@ -803,10 +803,15 @@ class LatentBlending():
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img_leaf = Image.fromarray(img)
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img_leaf = Image.fromarray(img)
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img_leaf.save(os.path.join(dp_img, f"lowres_img_{str(i).zfill(4)}.jpg"))
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img_leaf.save(os.path.join(dp_img, f"lowres_img_{str(i).zfill(4)}.jpg"))
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fp_yml = os.path.join(dp_img, "lowres.yaml")
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self.save_statedict(fp_yml)
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def save_statedict(self, fp_yml):
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# Dump everything relevant into yaml
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# Dump everything relevant into yaml
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state_dict = self.get_state_dict()
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state_dict = self.get_state_dict()
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state_dict['nmb_images'] = len(imgs_transition)
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state_dict['nmb_images'] = len(imgs_transition)
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yml_save(os.path.join(dp_img, "lowres.yaml"), state_dict)
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yml_save(fp_yml, state_dict)
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def get_state_dict(self):
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def get_state_dict(self):
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state_dict = {}
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state_dict = {}
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@ -1034,7 +1039,6 @@ def add_frames_linear_interp(
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return list_imgs
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return list_imgs
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list_imgs_float = [img.astype(np.float32) for img in list_imgs]
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list_imgs_float = [img.astype(np.float32) for img in list_imgs]
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# Distribute missing frames, append nmb_frames_to_insert(i) frames for each frame
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# Distribute missing frames, append nmb_frames_to_insert(i) frames for each frame
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mean_nmb_frames_insert = nmb_frames_missing/nmb_frames_diff
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mean_nmb_frames_insert = nmb_frames_missing/nmb_frames_diff
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constfact = np.floor(mean_nmb_frames_insert)
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constfact = np.floor(mean_nmb_frames_insert)
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