in src/controlnet_aux/open_pose/model.py [0:0]
def __init__(self):
super(handpose_model, self).__init__()
# these layers have no relu layer
no_relu_layers = ['conv6_2_CPM', 'Mconv7_stage2', 'Mconv7_stage3',\
'Mconv7_stage4', 'Mconv7_stage5', 'Mconv7_stage6']
# stage 1
block1_0 = OrderedDict([
('conv1_1', [3, 64, 3, 1, 1]),
('conv1_2', [64, 64, 3, 1, 1]),
('pool1_stage1', [2, 2, 0]),
('conv2_1', [64, 128, 3, 1, 1]),
('conv2_2', [128, 128, 3, 1, 1]),
('pool2_stage1', [2, 2, 0]),
('conv3_1', [128, 256, 3, 1, 1]),
('conv3_2', [256, 256, 3, 1, 1]),
('conv3_3', [256, 256, 3, 1, 1]),
('conv3_4', [256, 256, 3, 1, 1]),
('pool3_stage1', [2, 2, 0]),
('conv4_1', [256, 512, 3, 1, 1]),
('conv4_2', [512, 512, 3, 1, 1]),
('conv4_3', [512, 512, 3, 1, 1]),
('conv4_4', [512, 512, 3, 1, 1]),
('conv5_1', [512, 512, 3, 1, 1]),
('conv5_2', [512, 512, 3, 1, 1]),
('conv5_3_CPM', [512, 128, 3, 1, 1])
])
block1_1 = OrderedDict([
('conv6_1_CPM', [128, 512, 1, 1, 0]),
('conv6_2_CPM', [512, 22, 1, 1, 0])
])
blocks = {}
blocks['block1_0'] = block1_0
blocks['block1_1'] = block1_1
# stage 2-6
for i in range(2, 7):
blocks['block%d' % i] = OrderedDict([
('Mconv1_stage%d' % i, [150, 128, 7, 1, 3]),
('Mconv2_stage%d' % i, [128, 128, 7, 1, 3]),
('Mconv3_stage%d' % i, [128, 128, 7, 1, 3]),
('Mconv4_stage%d' % i, [128, 128, 7, 1, 3]),
('Mconv5_stage%d' % i, [128, 128, 7, 1, 3]),
('Mconv6_stage%d' % i, [128, 128, 1, 1, 0]),
('Mconv7_stage%d' % i, [128, 22, 1, 1, 0])
])
for k in blocks.keys():
blocks[k] = make_layers(blocks[k], no_relu_layers)
self.model1_0 = blocks['block1_0']
self.model1_1 = blocks['block1_1']
self.model2 = blocks['block2']
self.model3 = blocks['block3']
self.model4 = blocks['block4']
self.model5 = blocks['block5']
self.model6 = blocks['block6']