dgtlmoon

#!/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

dgtlmoon

#!/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,

dgtlmoon

#!/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

dgtlmoon

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

dgtlmoon

#!/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

dgtlmoon

#!/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