Andrea Orlandi ao-picterra
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| #!/usr/bin/env cwl-runner | |
| cwlVersion: v1.0 | |
| class: Workflow | |
| label: Create detector from folder | |
| doc: Given a folder and a name, creates a detector with this name and trainable on the rasters in the folder | |
| inputs: | |
| api_key: string | |
| api_server: string | |
| raster_folder_id: string |
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| const fs = require('fs') | |
| const path = require('path') | |
| const fetch = require('node-fetch') | |
| const Headers = fetch.Headers | |
| const sleep = ms => new Promise(resolve=> setTimeout(resolve,ms)) | |
| const apiKey = "123456789" | |
| const apiServer = 'https://app.picterra.ch/public/api/v1' | |
| if (process.argv.length <= 3) { | |
| console.log("Usage: " + __filename + " path/to/directory detector_name"); |
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| def detect(detector_id, raster_id): | |
| server_url = "https://picterra.ch/public/api/v1" # Picterra Public API server | |
| headers = { 'X-Api-Key': "123456789" } # Get API key on the Picterra platform | |
| url = server_url + ("/detectors/%s/run/" % detector_id) | |
| requests.post(url, headers=headers, data={'raster_id': raster_id}) | |
| response = r.json() # Start prediction | |
| result_id = response["result_id"] | |
| poll_interval = response["poll_interval"] # Waiting interval | |
| url = server_url + ("/results/%s/" % result_id) | |
| while True: # Wait until prediction is finished |
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| def upload_and_commit(file_path, file_name): | |
| api_key = "123456789" # Get it on the platform | |
| server_url = "https://app.picterra.ch/public/api/v1" | |
| headers = { 'X-Api-Key': api_key } | |
| url = server_url + "/rasters/upload/file/" # Endpoint to get remote upload URL | |
| r = requests.post(url, headers=headers, data={'name': file_name}) | |
| response = r.json() | |
| upload_url = response["upload_url"] # Save upload URL | |
| raster_id = response["raster_id"] # Save raster identifier | |
| size = os.stat(file_path).st_size |
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| async function detect(raster, detectorId, directory) { | |
| const rasterId = raster.id | |
| const rasterName = raster.name | |
| const sleep = s => new Promise(resolve=> setTimeout(resolve, s * 1000)) | |
| const apiKey = "123456789" | |
| const apiServer = "https://app.picterra.ch/public/api/v1" | |
| let options = { | |
| method: 'POST', | |
| headers: new Headers({ | |
| 'Content-Type': 'application/json', |
ao-picterra
/ upload_and_commit_functions.js
Last active
October 24, 2019 13:04
medium-api-article-1-gist
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| async function upload(filePath, fileName) { | |
| const sleep = s => new Promise(resolve=> setTimeout(resolve, s * 1000)) | |
| const apiKey = "123456789" | |
| const apiServer = "https://app.picterra.ch/public/api/v1" | |
| let options = { | |
| method: 'POST', | |
| headers: new Headers({ | |
| 'Content-Type': 'application/json', | |
| 'X-Api-Key': apiKey}), | |
| body: JSON.stringify({'name': fileName})} |
ao-picterra
/ folderRasterUpload.js
Last active
October 22, 2019 10:03
multiple upload and detections
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| const fs = require('fs') | |
| const path = require('path') | |
| const fetch = require('node-fetch') | |
| const Headers = fetch.Headers | |
| const sleep = ms => new Promise(resolve=> setTimeout(resolve,ms)) | |
| const apiKey = "" | |
| const apiServer = 'https://app-testing.picterra.ch/public/api/v1' | |
| if (process.argv.length <= 2) { | |
| console.log("Usage: " + __filename + " path/to/directory"); |