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Working on Deep Face Recognition

ASHUTOSH SATAPATHY (@ashu) ashutoshsatapathy1990

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Working on Deep Face Recognition
  • School of CSE, VIT University
  • Chennai, INDIA
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@ashutoshsatapathy1990
ashutoshsatapathy1990 / ResNet18.prototxt (NVIDIA DIGITS)
Last active May 9, 2020 15:01
ResNet 18 Caffe prototxt file for DIGITS
# ResNet18
name: "ResNet18"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
# Inception V2
name: "Inception V2"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
#VGGNet16
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
}
#VGGNet19
name: "VGGNet19"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
# Inception V3
name: "Inception V3"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 299
@ashutoshsatapathy1990
ashutoshsatapathy1990 / VGG16_BN.prototxt (NVIDIA DIGITS)
Last active June 27, 2019 10:43
VGG-16 with batch normalization layer after each convolution layer.
#VGGNet16-BN
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
}
@ashutoshsatapathy1990
ashutoshsatapathy1990 / VGG19_BN.prototxt (NVIDIA DIGITS)
Last active June 21, 2019 13:28
VGG-19 enables with batch normalization layer after each convolution layer
#VGGNet19-BN
name: "VGGNet19"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
@ashutoshsatapathy1990
ashutoshsatapathy1990 / VGG16_HingeLoss.prototxt (NVIDIA DIGITS)
Last active June 21, 2019 13:28
vgg-16 with HingeLoss loss function
#VGGNet16
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
}
# ResNet34
name: "ResNet34"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224
#ResNet50
name: "ResNet50"
layer {
name: "train-data"
type: "Data"
top: "data"
top: "label"
transform_param {
mirror: true
crop_size: 224