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add an option to skip model info printing #2912

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add an option to skip model info printing #2912

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13 changes: 8 additions & 5 deletions models/yolo.py
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Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,7 @@ def _make_grid(nx=20, ny=20):


class Model(nn.Module):
def __init__(self, cfg='yolov5s.yaml', ch=3, nc=None, anchors=None): # model, input channels, number of classes
def __init__(self, cfg='yolov5s.yaml', ch=3, nc=None, anchors=None, verbose=1): # model, input channels, number of classes
super(Model, self).__init__()
if isinstance(cfg, dict):
self.yaml = cfg # model dict
Expand Down Expand Up @@ -99,7 +99,8 @@ def __init__(self, cfg='yolov5s.yaml', ch=3, nc=None, anchors=None): # model, i

# Init weights, biases
initialize_weights(self)
self.info()
if verbose:
self.info()
logger.info('')

def forward(self, x, augment=False, profile=False):
Expand Down Expand Up @@ -198,8 +199,9 @@ def info(self, verbose=False, img_size=640): # print model information
model_info(self, verbose, img_size)


def parse_model(d, ch): # model_dict, input_channels(3)
logger.info('\n%3s%18s%3s%10s %-40s%-30s' % ('', 'from', 'n', 'params', 'module', 'arguments'))
def parse_model(d, ch, verbose=1): # model_dict, input_channels(3)
if verbose:
logger.info('\n%3s%18s%3s%10s %-40s%-30s' % ('', 'from', 'n', 'params', 'module', 'arguments'))
anchors, nc, gd, gw = d['anchors'], d['nc'], d['depth_multiple'], d['width_multiple']
na = (len(anchors[0]) // 2) if isinstance(anchors, list) else anchors # number of anchors
no = na * (nc + 5) # number of outputs = anchors * (classes + 5)
Expand Down Expand Up @@ -243,7 +245,8 @@ def parse_model(d, ch): # model_dict, input_channels(3)
t = str(m)[8:-2].replace('__main__.', '') # module type
np = sum([x.numel() for x in m_.parameters()]) # number params
m_.i, m_.f, m_.type, m_.np = i, f, t, np # attach index, 'from' index, type, number params
logger.info('%3s%18s%3s%10.0f %-40s%-30s' % (i, f, n, np, t, args)) # print
if verbose:
logger.info('%3s%18s%3s%10.0f %-40s%-30s' % (i, f, n, np, t, args)) # print
save.extend(x % i for x in ([f] if isinstance(f, int) else f) if x != -1) # append to savelist
layers.append(m_)
if i == 0:
Expand Down