- Run the
RunInBrowser.jsscript by copying and pasting into the Developer Tools' Console.
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| <!--DOCUSAURUS_CODE_TABS--> | |
| <!--JavaScript--> | |
| ```js | |
| console.log('Hello, world!'); | |
| ``` | |
| <!--Python--> | |
| ```py | |
| print('Hello, world!') | |
| ``` |
Glavin001
/ output.txt
Last active
October 20, 2018 16:35
Trying out https://github.com/PJunhyuk/exercise-pose-analyzer . Ran `python video_pose.py -f /app/testset/shoulder_press_1.mp4 -o mp4`
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| exercise-pose-analyzer | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01. | |
| exercise-pose-analyzer | Instructions for updating: | |
| exercise-pose-analyzer | Pass is_training directly to the network instead of the arg_scope. | |
| exercise-pose-analyzer | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01. | |
| exercise-pose-analyzer | Instructions for updating: | |
| exercise-pose-analyzer | Pass is_training directly to the network instead of the arg_scope. | |
| exercise-pose-analyzer | 2018-10-20 14:44:19.454505: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. | |
| exerc |
Glavin001
/ output.txt
Created
October 20, 2018 16:32
Trying out https://github.com/PJunhyuk/exercise-pose-analyzer
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| exercise-pose-analyzer | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01. | |
| exercise-pose-analyzer | Instructions for updating: | |
| exercise-pose-analyzer | Pass is_training directly to the network instead of the arg_scope. | |
| exercise-pose-analyzer | WARNING:tensorflow:From /app/nnet/pose_net.py:54: calling resnet_arg_scope (from tensorflow.contrib.slim.python.slim.nets.resnet_utils) with is_training is deprecated and will be removed after 2017-08-01. | |
| exercise-pose-analyzer | Instructions for updating: | |
| exercise-pose-analyzer | Pass is_training directly to the network instead of the arg_scope. | |
| exercise-pose-analyzer | 2018-10-20 14:44:19.454505: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. | |
| exerc |
Glavin001
/ list-routes.php
Created
July 3, 2018 15:26
— forked from alcalyn/list-routes.php
Dump all Silex routes
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| <?php | |
| require_once __DIR__.'/../vendor/autoload.php'; | |
| use Symfony\Component\Console\Helper\Table; | |
| use Symfony\Component\Console\Output\ConsoleOutput; | |
| use Symfony\Component\Console\Output\OutputInterface; | |
| use Silex\Application; | |
| /** |
Glavin001
/ provision.sh
Created
January 15, 2018 23:39
— forked from anonymous/provision.sh
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| function install_faiss() { | |
| pyenv shell rise | |
| pip install numpy | |
| sudo apt-get install -y \ | |
| build-essential \ | |
| libopenblas-dev \ | |
| gfortran \ | |
| swig | |
| PREFIX_MAIN=$(pyenv virtualenv-prefix) |
Glavin001
/ main.py
Created
January 15, 2018 22:26
— forked from zackster/main.py
Serverless fasttext implementation. I have a blog post on the Code For Cash blog (blog.codefor.cash) that discusses what else is needed to run fasttext in a serverless AWS lambda environment: compiling fasttext on ec2 for linux, including nltk in the root directory of the zip, etc.
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| import string | |
| import re | |
| import nltk | |
| def normalize(text): | |
| # remove punctuation | |
| text = re.sub('[%s]' % re.escape(string.punctuation), '', text) | |
| # split into words | |
| # nltk.data.path.append("/nltk_data") | |
| from nltk.tokenize import word_tokenize |
Glavin001
/ main.py
Created
January 15, 2018 22:26
— forked from zackster/main.py
Serverless fasttext implementation. I have a blog post on the Code For Cash blog (blog.codefor.cash) that discusses what else is needed to run fasttext in a serverless AWS lambda environment: compiling fasttext on ec2 for linux, including nltk in the root directory of the zip, etc.
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| import string | |
| import re | |
| import nltk | |
| def normalize(text): | |
| # remove punctuation | |
| text = re.sub('[%s]' % re.escape(string.punctuation), '', text) | |
| # split into words | |
| # nltk.data.path.append("/nltk_data") | |
| from nltk.tokenize import word_tokenize |
Glavin001
/ GithubEventAnalysisWithNeo4j.markdown
Created
January 8, 2018 17:33
— forked from ikwattro/GithubEventAnalysisWithNeo4j.markdown
Github Events Analysis with Neo4j
On July 22, Github announced the 3rd Annual Github Data Challenge presenting multiple sources of data available.
This sounded to me a good opportunity to use their available data and import it in Neo4j in order to have a lot of fun at analyzing the data that fits naturally in a graph.
As I work mainly offline or behind military proxies that do not permit me to use the ReST API, I decided to go for the Github Archive available here, you can then download json files representing Github Events on a daily/hour basis.
Using Styler Chrome extension.