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yjyoon / Altron_Backend star
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Altron_Backendsubfuctionsave_pickle.py
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asset
made ai analysis api and tested it. 25TPS using gunicorn app:app -w 12 -b 127.0.0.1:8080
2023-10-24
database
commented out unused db param
2023-11-13
model
fixed a critical mistake, misaligned neural network
2023-11-08
subfuction
made ai analysis api and tested it. 25TPS using gunicorn app:app -w 12 -b 127.0.0.1:8080
2023-10-24
weights
Hello Yona
2023-08-21
README.md
Hello Yona
2023-08-21
action.py
commented out unused db param
2023-11-13
app.py
fixed a critical mistake, misaligned neural network
2023-11-08
auth.py
made ai analysis api and tested it. 25TPS using gunicorn app:app -w 12 -b 127.0.0.1:8080
2023-10-24
demonstration.py
fixed a critical mistake, misaligned image input (GRB->RGB)
2023-11-09
demonstration_nogui.py
fixed a critical mistake, misaligned image input (GRB->RGB)
2023-11-09
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generate.py
Hello Yona
2023-08-21
image_crop.py
made ai analysis api and tested it. 25TPS using gunicorn app:app -w 12 -b 127.0.0.1:8080
2023-10-24
save_pickle.py
Hello Yona
2023-08-21
yjyoon 2023-08-21 b163801 Hello Yona UNIX
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from database.database import DB import pandas as pd import networkx as nx from itertools import tee def pairwise( iterable ): """Returns an iterable access binary tuple s -> (s0,s1), (s1,s2), (s2, s3), ...""" a, b = tee( iterable ) next(b, None) return zip(a, b) def swith_xy(tuples): x,y=tuples return (y,x) db=DB() df=pd.DataFrame(db.db_get_node()) df.columns=['index','source_x','source_y','target_x','target_y','distance'] G=nx.Graph() for j in range(len(df)): G.add_edge((df['source_x'][j],df['source_y'][j]),(df['target_x'][j],df['target_y'][j]),length=df['distance'][j]) nx.write_gpickle(G,'OSM_gpickle.gpickle')

          
        
    
    
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