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@phillies
phillies / example.py
Last active January 16, 2023 15:11
Example for MLFlow creating warnings when storing pytorch models
from torch import nn
import logging
import mlflow
import torch
class MLP(nn.Module):
def __init__(self):
super().__init__()
self.layers = nn.Sequential(
nn.Linear(633, 1024),
@phillies
phillies / convertRGB.kt
Created June 29, 2020 14:01
Convert FloatArray coming from pytorch Tensor to Bitmap
fun floatArrayToColorBitmap (
floatArray: FloatArray,
width: Int,
height: Int,
alpha :Byte = (255).toByte(),
reverseScale :Boolean = false
) : Bitmap {
// Create empty bitmap in RGBA format (even though it says ARGB but channels are RGBA)
val bmp = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888)
@phillies
phillies / convert.kt
Last active March 25, 2024 13:27
Converting pytorch tensor / floatArray to Android Bitmap
fun floatArrayToGrayscaleBitmap (
floatArray: FloatArray,
width: Int,
height: Int,
alpha :Byte = (255).toByte(),
reverseScale :Boolean = false
) : Bitmap {
// Create empty bitmap in RGBA format (even though it says ARGB but channels are RGBA)
val bmp = Bitmap.createBitmap(width, height, Bitmap.Config.ARGB_8888)
@phillies
phillies / Dockerfile
Last active December 6, 2019 03:15
jupyterlab-matplotlib issue 154 example docker image
FROM ubuntu:bionic
SHELL ["/bin/bash", "-c"]
RUN apt update -qq && apt upgrade -y -qq
ENV CONDAROOT "/opt/conda"
WORKDIR /root/
ADD https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh /root/
RUN mkdir ~/.conda && \
bash Miniconda3-latest-Linux-x86_64.sh -b -p $CONDAROOT && \
rm -rf Miniconda3-latest-Linux-x86_64.sh && \
@phillies
phillies / Dockerfile
Last active August 9, 2020 16:21
Reproducibility-oriented docker with pytorch and cuda support
FROM nvidia/cuda:10.1-base
# install git for accessing repositories
# and make /opt accessible for all users
RUN apt-get update && \
apt-get install -y --no-install-recommends git && \
chmod 777 /opt
SHELL ["/bin/bash", "-c"]
@phillies
phillies / unet_extent.py
Created September 19, 2019 05:27
Using a pretrained Unet with any number of input channels
import torch
import segmentation_models_pytorch as smp
in_channels = 8
# load pretrained Unet with resnet34 encoder and imagenet weights
net = smp.Unet()
# Checking the parameters of the first layer
print(net.encoder.conv1)
@phillies
phillies / Dockerfile
Created June 4, 2019 05:36
Multi-stage build with ssh-login to github using deploy keys
FROM node as builder
COPY github_key .
RUN eval $(ssh-agent) && \
ssh-add github_key && \
ssh-keyscan -H github.com >> /etc/ssh/ssh_known_hosts && \
git clone git@github.com:phillies/vue_example.git /opt/vue_example
WORKDIR /opt/vue_example
RUN npm install && npm run build
@phillies
phillies / Dockerfile
Created June 4, 2019 03:31
Multi-stage build example for creating a vue app running on nginx web server
FROM node as builder
RUN git clone https://github.com/phillies/vue_example.git /opt/vue_example
WORKDIR /opt/vue_example
RUN npm install && npm run build
FROM nginx
COPY --from=builder /opt/vue_example/dist/ /usr/share/nginx/html/
@phillies
phillies / Dockerfile
Created June 4, 2019 01:52
Simple docker file for building node development server from git repo
FROM node
RUN git clone https://github.com/phillies/vue_example.git /opt/vue_example
WORKDIR /opt/vue_example
RUN npm install
CMD ["npm", "run", "serve"]
@phillies
phillies / nginx.conf
Created June 1, 2019 08:50
nginx reverse proxy config
worker_processes 1;
events {
worker_connections 1024;
}
http {
include mime.types;
default_type application/octet-stream;