def get_optimized_blended_spherical_trajectory():
'''
Send a POST request to this URL.
Input: a JSON object as follows:
{
cameraPoseN: [0, ...],
cameraPoseE: [0, ...],
cameraPoseD: [0, ...],
cameraPoseT: [0, ...],
personA: [x, y, z, ...],
personB: [x, y, z, ...],
screenSpaceA : [x, y, ...],
screenSpaceB : [x, y, ...],
params: {
minDist: 1
}
}
Returns: a JSON object as follows:
{
positionSpline: [...],
}
'''
parsed_json = request.get_json()
if parsed_json is None:
return abort(400)
cameraPose_n_list = parsed_json['cameraPoseN'] #y
cameraPose_e_list = parsed_json['cameraPoseE'] #x
cameraPose_d_list = parsed_json['cameraPoseD'] #z
cameraPose_t_list = parsed_json['cameraPoseT']
screenSpaceA_list = parsed_json['screenSpaceA']
screenSpaceB_list = parsed_json['screenSpaceB']
PA = np.array(parsed_json['personA'])
PB = np.array(parsed_json['personB'])
C0 = np.array([cameraPose_n_list[0], cameraPose_e_list[0], cameraPose_d_list[0]])
C1 = np.array([cameraPose_n_list[1], cameraPose_e_list[1], cameraPose_d_list[1]])
params = parsed_json['params']
print "get_optimized_blended_spherical_trajectory: Calling optimizer now..."
print " PA is", PA
print " PB is", PB
print " C0 is", C0
print " C1 is", C1
print " params is:", params
sigma, wA, sigmaAvg, sigmaA, sigmaB, t = osp.calculate_position_trajectory_as_optimized_blend_of_spherical_trajectories(
PA, PB, C0, C1, osp.real_optimizer_unconstrained_at_endpoints, params)
print "Parameterizing returned sigma trajectory over time..."
P_cameraPose = sigma
print "P: ", P_cameraPose
T_cameraPose = c_[t, t, t]
P_positionSpline = trajectoryAPI.compute_easing_spline_trajectory(P_cameraPose, T_cameraPose)
data = {
'positionSpline': P_positionSpline.tolist(),
}
return jsonify(data)
add_import_search_dir('../trajectories')
import optimized_spherical_paths as osp
import numpy as np
PA = np.array([0, 0, 0])
PB = np.array([2, 0, 0])
C0 = np.array([0, 2, 0])
C1 = np.array([2, 2, 0])
params = {
'minDist': 1
}
sigma, wA, sigmaAvg, sigmaA, sigmaB, t = osp.calculate_position_trajectory_as_optimized_blend_of_spherical_trajectories(
PA, PB, C0, C1, osp.real_optimizer_unconstrained_at_endpoints, params)
print "Parameterizing returned sigma trajectory over time..."
P_cameraPose = sigma
print "P: "
print P_cameraPose
T_cameraPose = c_[t, t, t]
P_positionSpline = trajectoryAPI.compute_easing_spline_trajectory(P_cameraPose, T_cameraPose)
print P_positionSpline
def get_optimized_blended_spherical_trajectory():
'''
Send a POST request to this URL.
Input: a JSON object as follows:
{
cameraPoseN: [0, ...],
cameraPoseE: [0, ...],
cameraPoseD: [0, ...],
cameraPoseT: [0, ...],
personA: [x, y, z, ...],
personB: [x, y, z, ...],
screenSpaceA : [x, y, ...],
screenSpaceB : [x, y, ...],
params: {
minDist: 1
}
}
Returns: a JSON object as follows:
{
positionSpline: [...],
}
'''
parsed_json = request.get_json()
if parsed_json is None:
return abort(400)
cameraPose_n_list = parsed_json['cameraPoseN'] #y
cameraPose_e_list = parsed_json['cameraPoseE'] #x
cameraPose_d_list = parsed_json['cameraPoseD'] #z
cameraPose_t_list = parsed_json['cameraPoseT']
screenSpaceA_list = parsed_json['screenSpaceA']
screenSpaceB_list = parsed_json['screenSpaceB']
PA = np.array(parsed_json['personA'])
PB = np.array(parsed_json['personB'])
C0 = np.array(
[cameraPose_n_list[0], cameraPose_e_list[0], cameraPose_d_list[0]])
C1 = np.array(
[cameraPose_n_list[1], cameraPose_e_list[1], cameraPose_d_list[1]])
params = parsed_json['params']
print "get_optimized_blended_spherical_trajectory: Calling optimizer now..."
print " PA is", PA
print " PB is", PB
print " C0 is", C0
print " C1 is", C1
print " params is:", params
sigma, wA, sigmaAvg, sigmaA, sigmaB, t = osp.calculate_position_trajectory_as_optimized_blend_of_spherical_trajectories(
PA, PB, C0, C1, osp.real_optimizer_unconstrained_at_endpoints, params)
print "Parameterizing returned sigma trajectory over time..."
P_cameraPose = sigma
print "P: ", P_cameraPose
T_cameraPose = c_[t, t, t]
P_positionSpline = trajectoryAPI.compute_easing_spline_trajectory(
P_cameraPose, T_cameraPose)
data = {
'positionSpline': P_positionSpline.tolist(),
}
return jsonify(data)
