lcolokandDr.Lt.Data
95cc4ed719
* Enhance mask_to_segs to Handle Batch Masks * start to build SAMDetectorSegmented * Add Segmented SAMDetector and SEGS & MASKS ForEach nodes * Bug fix: Shape tuple dimension length problem * Enhance mask_to_segs to Handle Batch Masks * pr/38 bugfix * code cleansing * pr/38 bugfix #2 apply_mask_to_each_seg crash fix 'input is 2d mask not 3d masks' * change masks:'MASK' to masks:'MASKS' * MasksToMaskList sample added robust patch for empty SEGS --------- Co-authored-by: Dr.Lt.Data <dr.lt.data@gmail.com>
33 lines
800 B
Python
33 lines
800 B
Python
import configparser
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import os
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version = "V2.22"
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dependency_version = 1
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my_path = os.path.dirname(__file__)
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config_path = os.path.join(my_path, "impact-pack.ini")
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latent_letter_path = os.path.join(my_path, "..", "..", "latent.png")
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MAX_RESOLUTION = 8192
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def write_config(comfy_path):
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config = configparser.ConfigParser()
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config['default'] = {
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'dependency_version': dependency_version,
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'comfy_path': comfy_path
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}
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with open(config_path, 'w') as configfile:
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config.write(configfile)
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def read_config():
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try:
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config = configparser.ConfigParser()
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config.read(config_path)
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default_conf = config['default']
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return default_conf['comfy_path'], int(default_conf['dependency_version'])
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except Exception:
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return "", 0
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