71 lines
2.9 KiB
Python
71 lines
2.9 KiB
Python
import os
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import numpy as np
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def parse_model_cfg(path):
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# Parse the yolo *.cfg file and return module definitions path may be 'cfg/yolov3.cfg', 'yolov3.cfg', or 'yolov3'
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if not path.endswith('.cfg'): # add .cfg suffix if omitted
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path += '.cfg'
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if not os.path.exists(path) and os.path.exists('cfg' + os.sep + path): # add cfg/ prefix if omitted
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path = 'cfg' + os.sep + path
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with open(path, 'r') as f:
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lines = f.read().split('\n')
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lines = [x for x in lines if x and not x.startswith('#')]
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lines = [x.rstrip().lstrip() for x in lines] # get rid of fringe whitespaces
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mdefs = [] # module definitions
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for line in lines:
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if line.startswith('['): # This marks the start of a new block
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mdefs.append({})
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mdefs[-1]['type'] = line[1:-1].rstrip()
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if mdefs[-1]['type'] == 'convolutional':
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mdefs[-1]['batch_normalize'] = 0 # pre-populate with zeros (may be overwritten later)
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else:
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key, val = line.split("=")
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key = key.rstrip()
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if key == 'anchors': # return nparray
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mdefs[-1][key] = np.array([float(x) for x in val.split(',')]).reshape((-1, 2)) # np anchors
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elif key in ['from', 'layers', 'mask']: # return array
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mdefs[-1][key] = [int(x) for x in val.split(',')]
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else:
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val = val.strip()
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if val.isnumeric(): # return int or float
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mdefs[-1][key] = int(val) if (int(val) - float(val)) == 0 else float(val)
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else:
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mdefs[-1][key] = val # return string
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# Check all fields are supported
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supported = ['type', 'batch_normalize', 'filters', 'size', 'stride', 'pad', 'activation', 'layers', 'groups',
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'from', 'mask', 'anchors', 'classes', 'num', 'jitter', 'ignore_thresh', 'truth_thresh', 'random',
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'stride_x', 'stride_y', 'weights_type', 'weights_normalization', 'scale_x_y', 'beta_nms', 'nms_kind',
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'iou_loss', 'iou_normalizer', 'cls_normalizer', 'iou_thresh']
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f = [] # fields
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for x in mdefs[1:]:
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[f.append(k) for k in x if k not in f]
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u = [x for x in f if x not in supported] # unsupported fields
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assert not any(u), "Unsupported fields %s in %s. See https://github.com/ultralytics/yolov3/issues/631" % (u, path)
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return mdefs
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def parse_data_cfg(path):
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# Parses the data configuration file
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if not os.path.exists(path) and os.path.exists('data' + os.sep + path): # add data/ prefix if omitted
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path = 'data' + os.sep + path
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with open(path, 'r') as f:
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lines = f.readlines()
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options = dict()
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for line in lines:
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line = line.strip()
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if line == '' or line.startswith('#'):
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continue
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key, val = line.split('=')
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options[key.strip()] = val.strip()
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return options
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