Skip to content

Added support for relu function when converting from darknet weights. #600

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
guichristmann wants to merge 3 commits into
base: master
Choose a base branch
from
Open

Added support for relu function when converting from darknet weights. #600

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
7df4c76
Added support for relu function when converting from darknet weights.
guichristmann Dec 26, 2019
f572167
Added explicit input shapes.
guichristmann Dec 27, 2019
5bf20c6
Fixed input size type from float to int.
guichristmann Dec 27, 2019
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
13 changes: 10 additions & 3 deletions convert.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@
import numpy as np
from keras import backend as K
from keras.layers import (Conv2D, Input, ZeroPadding2D, Add,
UpSampling2D, MaxPooling2D, Concatenate)
UpSampling2D, MaxPooling2D, Concatenate, Activation)
from keras.layers.advanced_activations import LeakyReLU
from keras.layers.normalization import BatchNormalization
from keras.models import Model
Expand Down Expand Up @@ -84,8 +84,11 @@ def _main(args):
cfg_parser = configparser.ConfigParser()
cfg_parser.read_file(unique_config_file)

width = int(cfg_parser["net_0"]["width"])
height = int(cfg_parser["net_0"]["height"])

print('Creating Keras model.')
input_layer = Input(shape=(None, None, 3))
input_layer = Input(shape=(height, width, 3))
prev_layer = input_layer
all_layers = []

Expand Down Expand Up @@ -154,7 +157,7 @@ def _main(args):

# Handle activation.
act_fn = None
if activation == 'leaky':
if activation == 'leaky' or activation == 'relu':
pass # Add advanced activation later.
elif activation != 'linear':
raise ValueError(
Expand Down Expand Up @@ -185,6 +188,10 @@ def _main(args):
act_layer = LeakyReLU(alpha=0.1)(prev_layer)
prev_layer = act_layer
all_layers.append(act_layer)
elif activation == 'relu': # Added ReLU activation
act_layer = Activation("relu")(prev_layer)
prev_layer = act_layer
all_layers.append(act_layer)

elif section.startswith('route'):
ids = [int(i) for i in cfg_parser[section]['layers'].split(',')]
Expand Down