orm011

# cheaply convert container only, given compatible internal codecs
ffmpeg -i ../panama_loop/WtoxxHADnGk_0820.ts -map 0 -c copy WtoxxHADnGk_0820.mp4

# extract every 150th frame (5s) (random ordering of files). jpeg preserve quality 
ls ../panama_loop_mp4/ | shuf  | xargs -L 1 -I {} -P 20 bash -c "mkdir -p {} && ffmpeg -i ../panama_loop_mp4/{}  -vf 'select=not(mod(n\,150))'  -q:v 2 {}/frame_%06d.jpg" 

## need to add -vsync vpf above to avoid the same frame showing up multiple times
ls ../panama_loop_mp4/ | shuf   |  xargs -L 1 -I{} -P 120 bash -c "mkdir -p {} && ffmpeg -filter_threads 1 -i ../panama_loop_mp4/{} -threads 1  -vf 'select=not(mod(n\,300)), scale=1008:-1' -vsync vfr -f image2 -q:v 2  -threads 1 -an {}/frame_%06d.jpg"

orm011

    plot_figure = figure(
        title='embedding plot',
        plot_width=700,
        plot_height=400,
        tools=('pan, wheel_zoom, reset, tap, box_select'),
        output_backend="webgl"
    )

    color_col = 'curr_label'
    cids = class_names#db_df[color_col].unique() # really should be class

orm011

import inspect

def copy_locals():
    '''
        copies all local variables from this context into the jupyter top level, eg, for easier 
        debugging of data and for prototyping new code that is eventually meant to run within this context.
    '''
    stack = inspect.stack()
    
    caller = stack[1]

orm011

import os
ffmpeg_install_dir = '/nvme_drive/orm/ffmpeg_install2/'
os.environ['LD_LIBRARY_PATH'] = f'{ffmpeg_install_dir}/lib/'
import skvideo
skvideo.setFFmpegPath(f'{ffmpeg_install_dir}/bin/')
import skvideo.io

## minimal options
device=0
file = /big_fast_drive/orm/birds/birds_panama.mp4',

orm011

origin	https://git.videolan.org/git/ffmpeg/nv-codec-headers.git 
# tag n10.0.26.0

# may be useful to point ffmpeg to different path, eg. conda
# --libdir=/usr/lib/x86_64-linux-gnu --incdir=/usr/include/x86_64-linux-gnu

base=/home/gridsan/omoll/
mkdir ${base}/ffmpeg_install
prefix=${base}/ffmpeg_install
nv_codec_install=${base}/nv-codec-headers-install/

orm011

export ytbkey=<ytbkey here>; 
for i in `seq -f '%04g' 672`; 
  do /home/gridsan/omoll/.local/bin/streamlink --hls-duration 01:00:00 --hls-live-restart  -o ${ytbkey}_$i.ts  https://www.youtube.com/watch?v=${ytbkey} best;
done; 

# convert ts container without re-encoding with this
# ffmpeg -i ${ytbkey}_$i.ts -s 0:0 -vcodec copy -an ${ytbkey}_$i.mp4; done 

orm011

def plt2arr(fig, draw=True):
"""
need to draw if figure is not drawn yet
"""
    if draw:
        fig.canvas.draw()
    rgba_buf = fig.canvas.buffer_rgba()
    (w,h) = fig.canvas.get_width_height()
    rgba_arr = np.frombuffer(rgba_buf, dtype=np.uint8).reshape((h,w,4))
    return rgba_arr

orm011

{"type": "FeatureCollection", "features": [{"geometry": {"type": "LineString", "coordinates": [[-71.118052, 42.3661482], [-71.1180446, 42.3659904]]}, "type": "Feature", "id": "0", "properties": {"index": 0, "dst": 2671760283, "src": 61403923, "osm_id": 8646197}}, {"geometry": {"type": "LineString", "coordinates": [[-71.118052, 42.3661482], [-71.1181256, 42.3654855]]}, "type": "Feature", "id": "1", "properties": {"index": 1, "dst": 2671760279, "src": 2671760283, "osm_id": 8646197}}, {"geometry": {"type": "LineString", "coordinates": [[-71.1180446, 42.3659904], [-71.1180425, 42.3658109]]}, "type": "Feature", "id": "2", "properties": {"index": 2, "dst": 61372243, "src": 2671760279, "osm_id": 8646197}}, {"geometry": {"type": "LineString", "coordinates": [[-71.1180425, 42.3658109], [-71.1180266, 42.3637903]]}, "type": "Feature", "id": "3", "properties": {"index": 3, "dst": 2671858992, "src": 61372243, "osm_id": 8646197}}, {"geometry": {"type": "LineString", "coordinates": [[-71.1180266, 42.3637903], [-71.1180211, 

orm011

{"type": "FeatureCollection", "features": [{"geometry": {"type": "LineString", "coordinates": [[-71.0975293, 42.3617372], [-71.096938, 42.3613854]]}, "type": "Feature", "id": "0", "bbox": [-71.0975293, 42.3613854, -71.096938, 42.3617372], "properties": {}}, {"geometry": {"type": "LineString", "coordinates": [[-71.0961381, 42.3609094], [-71.0960005, 42.3608275]]}, "type": "Feature", "id": "1", "bbox": [-71.0961381, 42.3608275, -71.0960005, 42.3609094], "properties": {}}, {"geometry": {"type": "LineString", "coordinates": [[-71.0953508, 42.3604364], [-71.0948847, 42.3601506]]}, "type": "Feature", "id": "2", "bbox": [-71.0953508, 42.3601506, -71.0948847, 42.3604364], "properties": {}}, {"geometry": {"type": "LineString", "coordinates": [[-71.0936993, 42.3607137], [-71.0929964, 42.3610495]]}, "type": "Feature", "id": "3", "bbox": [-71.0936993, 42.3607137, -71.0929964, 42.3610495], "properties": {}}, {"geometry": {"type": "LineString", "coordinates": [[-71.0914907, 42.3617964], [-71.0907826, 42.3621783]]}, "type":

orm011

osm=# select postgis_full_version(); 
                                                                           postgis_full_version                                                                            
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------
 POSTGIS="2.2.1 r14555" GEOS="3.5.0-CAPI-1.9.0 r4084" PROJ="Rel. 4.9.2, 08 September 2015" GDAL="GDAL 1.11.3, released 2015/09/16" LIBXML="2.9.3" LIBJSON="0.11.99" RASTER
(1 row)

-- the 10 is for decimal points, the 2 is for adding the SRID to the result.
osm=# select ST_AsGeoJSON(geometry, 10, 2) from import.osm_roads where osm_id = 8616015;

-- the 4326 stands for 'SRID:4326'