Francisco Canas FranciscoCanas
FranciscoCanas
/ bc_web_event.json
Created
May 10, 2019 18:02
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| { | |
| "description": "The additional dimensions used for BiblioWeb events", | |
| "title": "bc_web_event", | |
| "type": "object", | |
| "properties": { | |
| "containerName": { | |
| "type": "string" | |
| }, | |
| "contentType": { | |
| "type": "string" |
FranciscoCanas
/ bc_environment.json
Created
May 10, 2019 17:57
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| { | |
| "description": "The Environment in which an event happened", | |
| "title": "bc_environment", | |
| "type": "object", | |
| "properties": { | |
| "productId": { | |
| "type": "string" | |
| }, | |
| "environmentId": { | |
| "type": "string" |
FranciscoCanas
/ bc_web_v3.json
Created
May 10, 2019 14:32
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| { | |
| "description": "The additional dimensions used for BiblioWeb events", | |
| "title": "v3_web_event", | |
| "type": "object", | |
| "properties": { | |
| "containerName": { | |
| "type": "string" | |
| }, | |
| "contentType": { | |
| "type": "string" |
FranciscoCanas
/ bc_library.json
Created
May 10, 2019 14:13
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| { | |
| "description": "The library for which the event occurred", | |
| "title": "bc_library", | |
| "type": "object", | |
| "properties": { | |
| "siteId": { | |
| "type": "string" | |
| }, | |
| "site": { | |
| "type": "string" |
FranciscoCanas
/ bc_library.json
Created
May 6, 2019 17:54
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| { | |
| "description": "The library for which the event occurred", | |
| "title": "bc_library", | |
| "type": "object", | |
| "properties": { | |
| "siteId": { | |
| "type": ["string", "null"], | |
| "maxLength": 255 | |
| }, | |
| "site": { |
FranciscoCanas
/ combine.py
Last active
May 26, 2020 04:05
Combining Pre-trained Left and Right nets into a single joint model
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| import numpy as np | |
| import sys, os | |
| # Edit the paths as needed: | |
| caffe_root = '../caffe/' | |
| sys.path.insert(0, caffe_root + 'python') | |
| import caffe | |
| # Path to your combined net prototxt files: |
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| def encode(input): | |
| """ | |
| Returns the Run Length Encoding for an input string. | |
| """ | |
| if not input: | |
| return '' | |
| result = [] | |
| count = 1 | |
| prev = input[0] |