| #!/usr/bin/python3 | |
| """ | |
| DOES NOT WORK because requests (and requests_cache) are blocking, if you have some ideas.. | |
| https://stackoverflow.com/questions/52246796/await-a-method-and-assign-a-variable-to-the-returned-value-with-asyncio | |
| """ | |
| import asyncio | |
| import re |
| #!/usr/bin/python3 | |
| import argparse | |
| from PIL import Image, ExifTags | |
| # Given the training index file and a maximum size (used as width and height) | |
| # Resize anything larger than these and rewrite their scaled bbox information | |
| # ALSO - always rotates the image if there is EXIF data! | |
| import glob | |
| import sys |
Some machine learning image cleanup tricks
Print files larger than some size
identify -format '%f|%w|%h\n' *|awk -F\| ' $3> 512 || $3 > 512'
856x642-manual-0fc7abf38681f7195e0588643037a7a7.jpg|856|642
856x642-manual-4bcae3ee8401e05c1da869e2ce0f154f.jpg|856|642
856x642-manual-5b9e571e0a4638cee70a92865d97bedd.jpg|856|642
| #!/bin/bash | |
| #change base_lr | |
| curl -X DELETE "http://localhost:8080/services/tag_detect_vgg16?clear=all" | |
| sleep 1 | |
| docker stop dd_tags | |
| docker rm dd_tags | |
| chmod -R 777 models | |
| nvidia-docker run --name dd_tags -d -p 8080:8080 -v "`pwd`":/tags_dataset jolibrain/deepdetect_gpu |
| #!/bin/bash | |
| curl -X PUT "http://localhost:8080/services/artwork_detect_vgg16" -d '{ | |
| "mllib": "caffe", | |
| "description": "detector vgg16", | |
| "type": "supervised", | |
| "parameters": { | |
| "input": { | |
| "connector": "image", | |
| "db": true, |
| #!/bin/bash | |
| #change base_lr | |
| #note nclasses bases+count | |
| curl -X DELETE "http://localhost:8080/services/tag_detect?clear=all" | |
| sleep 1 | |
| docker stop dd_tags | |
| docker rm dd_tags |
| #!/usr/bin/python3 | |
| def image_to_webp(src, dest): | |
| import webp | |
| import io | |
| from PIL import Image | |
| # @todo Maybe there's a better way to load this as a stream instead of into RAM, tho my images are all small. | |
| with open(src, "rb") as r: | |
| rb = r.read() |
| server { | |
| server_name example.com; | |
| root /var/www/drupal8; ## <-- Your only path reference. | |
| location = /favicon.ico { | |
| log_not_found off; | |
| access_log off; | |
| } | |
| location = /robots.txt { |
| #!/bin/bash | |
| curl -fsSL https://download.docker.com/linux/ubuntu/gpg | sudo apt-key add - | |
| add-apt-repository \ | |
| "deb [arch=amd64] https://download.docker.com/linux/ubuntu \ | |
| $(lsb_release -cs) \ | |
| stable" | |
| apt-get update && apt-get remove docker docker-engine docker.io -y |
| <!DOCTYPE HTML> | |
| <html lang="en"> | |
| <head> | |
| <!--[if IE]> | |
| <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1"> | |
| <![endif]--> | |
| <meta charset="utf-8"> | |
| <title>Gallery</title> | |
| <link rel="stylesheet" href="css/blueimp-gallery.css"> | |
| <link rel="stylesheet" href="css/blueimp-gallery-indicator.css"> |