|
|
@@ -1,16 +1,16 @@ |
|
|
|
import argparse |
|
|
|
import logging |
|
|
|
import math |
|
|
|
import sys |
|
|
|
from copy import deepcopy |
|
|
|
from pathlib import Path |
|
|
|
|
|
|
|
sys.path.append('./') # to run '$ python *.py' files in subdirectories |
|
|
|
logger = logging.getLogger(__name__) |
|
|
|
|
|
|
|
import math |
|
|
|
import torch |
|
|
|
import torch.nn as nn |
|
|
|
|
|
|
|
sys.path.append('./') # to run '$ python *.py' files in subdirectories |
|
|
|
logger = logging.getLogger(__name__) |
|
|
|
|
|
|
|
from models.common import Conv, Bottleneck, SPP, DWConv, Focus, BottleneckCSP, Concat, NMS, autoShape |
|
|
|
from models.experimental import MixConv2d, CrossConv, C3 |
|
|
|
from utils.autoanchor import check_anchor_order |
|
|
@@ -82,6 +82,7 @@ class Model(nn.Module): |
|
|
|
logger.info('Overriding model.yaml nc=%g with nc=%g' % (self.yaml['nc'], nc)) |
|
|
|
self.yaml['nc'] = nc # override yaml value |
|
|
|
self.model, self.save = parse_model(deepcopy(self.yaml), ch=[ch]) # model, savelist, ch_out |
|
|
|
self.names = [str(i) for i in range(self.yaml['nc'])] # default names |
|
|
|
# print([x.shape for x in self.forward(torch.zeros(1, ch, 64, 64))]) |
|
|
|
|
|
|
|
# Build strides, anchors |