Hi @chrishendra93, now this outputs a binary pickle file(data.json) that outputs dictionary with a list of tuples in the format of (norm_mean,norm_std,dwell_time), so you'll need pickle.loads() to load in inference.py. Here is an example code:
import sys, pickle
index_file=open(sys.argv[2],"r")
index_file.readline()
outfile=open("test_load.json","a")
with open(sys.argv[1], 'rb') as f_data:
for ln in index_file:
ln=ln.strip().split(",")
pos_start,pos_end=int(ln[-2]),int(ln[-1])
f_data.seek(pos_start,0)
json_str=f_data.read(pos_end-pos_start)
chunk=pickle.loads(json_str)
print(chunk,file=outfile)
Hi @chrishendra93, now this outputs a binary pickle file(data.json) that outputs dictionary with a list of tuples in the format of (norm_mean,norm_std,dwell_time), so you'll need pickle.loads() to load in
inference.py. Here is an example code: