| import numpy as np | |
| import pickle | |
| import copy | |
| def get_time(s): | |
| s=s.split()[-1] | |
| s=s.split(":") | |
| h=float(s[0]) | |
| m=float(s[1]) | |
| t=float(s[2]) | |
| total=h*3600+m*60+t | |
| return h,m,t,total | |
| gap=1 | |
| length=gap*100 | |
| pad=[-1000]*52 | |
| action_list=[] | |
| people_list=[] | |
| timestamp=[] | |
| magnitudes=[] | |
| phases=[] | |
| loacl_gap=10000 | |
| with open("./csi_data.pkl", 'rb') as f: | |
| csi = pickle.load(f) | |
| for data in csi: | |
| csi_time=data['csi_time'] | |
| local_time=data['csi_local_time'] | |
| magnitude=data['magnitude'] | |
| phase=data['phase'] | |
| people=data['volunteer_id'] | |
| action=data['action_id'] | |
| start_time=None | |
| last_local=None | |
| current_magnitude=[] | |
| current_phase=[] | |
| current_timestamp=[] | |
| for i in range(len(csi_time)): | |
| _, _, _, current_time = get_time(csi_time[i]) | |
| if start_time is None or current_time-start_time>gap: | |
| if start_time is not None: | |
| if len(current_magnitude)>=length: | |
| current_magnitude=current_magnitude[:length] | |
| current_phase=current_phase[:length] | |
| current_timestamp=current_timestamp[:length] | |
| else: | |
| add=length-len(current_magnitude) | |
| delta=(current_timestamp[0]+length*loacl_gap-current_timestamp[-1])/add | |
| for j in range(add): | |
| current_magnitude.append(pad) | |
| current_phase.append(pad) | |
| current_timestamp.append(current_timestamp[-1]+delta) | |
| magnitudes.append(copy.deepcopy(current_magnitude)) | |
| phases.append(copy.deepcopy(current_phase)) | |
| timestamp.append(copy.deepcopy(current_timestamp)) | |
| action_list.append(action) | |
| people_list.append(people) | |
| current_magnitude = [] | |
| current_phase = [] | |
| current_timestamp = [] | |
| start_time=current_time | |
| last_local=local_time[i] | |
| current_magnitude.append(magnitude[i]) | |
| current_phase.append(phase[i]) | |
| current_timestamp.append(local_time[i]) | |
| else: | |
| local = local_time[i] | |
| num=round((local-last_local-loacl_gap)/loacl_gap) | |
| if num>0: | |
| delta=(local-last_local)/(num+1) | |
| for j in range(num): | |
| current_magnitude.append(pad) | |
| current_phase.append(pad) | |
| current_timestamp.append(current_timestamp[-1] + delta) | |
| current_magnitude.append(magnitude[i]) | |
| current_phase.append(phase[i]) | |
| current_timestamp.append(local_time[i]) | |
| last_local=local | |
| action_list=np.array(action_list) | |
| people_list=np.array(people_list) | |
| timestamp=np.array(timestamp) | |
| magnitudes=np.array(magnitudes) | |
| phases=np.array(phases) | |
| print(action_list.shape) | |
| print(people_list.shape) | |
| print(timestamp.shape) | |
| print(magnitudes.shape) | |
| print(phases.shape) | |
| np.save("./magnitude.npy", np.array(magnitudes)) | |
| np.save("./phase.npy", np.array(phases)) | |
| np.save("./action.npy", np.array(action_list)) | |
| np.save("./people.npy", np.array(people_list)) | |
| np.save("./timestamp.npy", np.array(timestamp)) | |