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Gabriel Pellegrino da Silva gpspelle

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@mvoelk
mvoelk / resnet-152_keras.py
Last active March 11, 2022 08:06
Resnet-152 pre-trained model in TF Keras 2.x
# -*- coding: utf-8 -*-
import cv2
import numpy as np
from tensorflow.keras.layers import Input, Dense, Conv2D, MaxPool2D, AvgPool2D, Activation
from tensorflow.keras.layers import Layer, BatchNormalization, ZeroPadding2D, Flatten, add
from tensorflow.keras.optimizers import SGD
from tensorflow.keras.models import Model
from tensorflow.keras import initializers
@hdoverobinson
hdoverobinson / ubxconfig.sh
Last active September 24, 2024 14:54
Configure u-blox GPS/GNSS modules with Bash
#!/bin/bash
###AUTHOR###
#Harry Dove-Robinson 5/8/2017
#harry@doverobinson.me
#https://gist.github.com/hdoverobinson
#https://github.com/hdoverobinson
###USAGE###
#This is a script used to configure u-blox GPS/GNSS modules from a text file generated by u-center.
@flyyufelix
flyyufelix / readme.md
Last active August 5, 2022 15:20
Resnet-152 pre-trained model in Keras

ResNet-152 in Keras

This is an Keras implementation of ResNet-152 with ImageNet pre-trained weights. I converted the weights from Caffe provided by the authors of the paper. The implementation supports both Theano and TensorFlow backends. Just in case you are curious about how the conversion is done, you can visit my blog post for more details.

ResNet Paper:

Deep Residual Learning for Image Recognition.
Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun
arXiv:1512.03385