ctviewer / app.py
Matthew Danish
default for detections
1cfce00
raw
history blame
4.45 kB
import gradio as gr
import cameratransform as ct
import json
import itertools
keys = [
('focallength_mm', gr.Slider(0, 10, value=7, step=0.1)),
('sensor_width_mm', gr.Slider(0, 10, value=6.7, step=0.1)),
('sensor_height_mm', gr.Slider(0, 10, value=5.6, step=0.1)),
('image_width_px', gr.Slider(0, 3000, value=640, step=1)),
('image_height_px', gr.Slider(0, 3000, value=480, step=1)),
('elevation_m', gr.Slider(0, 20, value=1.8, step=0.1)),
('pos_x_m', gr.Slider(-20, 20, value=0, step=0.1)),
('pos_y_m', gr.Slider(-20, 20, value=0, step=0.1)),
('tilt_deg', gr.Slider(-180, 180, value=0, step=0.1)),
('heading_deg', gr.Slider(-180, 180, value=0, step=0.1)),
('roll_deg', gr.Slider(-180, 180, value=0, step=0.1)),
('distortion_k1', gr.Slider(-30, 30, value=0, step=0.1)),
('distortion_k2', gr.Slider(-30, 30, value=0, step=0.1)),
('distortion_k3', gr.Slider(-30, 30, value=0, step=0.1)),
('xmin', gr.Slider(-30, 30, value=-10, step=1)),
('xmax', gr.Slider(-30, 30, value=10, step=1)),
('xtickcount', gr.Slider(0, 50, value=31, step=1)),
('ymin', gr.Slider(-30, 30, value=0, step=1)),
('ymax', gr.Slider(-30, 30, value=20, step=1)),
('ytickcount', gr.Slider(0, 50, value=31, step=1)),
('detections', gr.Textbox())
]
def main(form):
projparams = {}
spatparams = {}
distparams = {}
ptsparams = {}
result = {}
result['success']=True
result['errormsgs']=[]
def check_key(key, destdict, caster=float):
if key not in form:
result['success'] = False
result['errormsgs'].append('{} is missing'.format(key))
else:
destdict[key] = caster(form[key])
check_key("focallength_mm", projparams)
check_key("sensor_width_mm", projparams)
check_key("sensor_height_mm", projparams)
check_key("image_width_px", projparams, int)
check_key("image_height_px", projparams, int)
check_key("elevation_m", spatparams)
check_key("pos_x_m", spatparams)
check_key("pos_y_m", spatparams)
check_key("tilt_deg", spatparams)
check_key("heading_deg", spatparams)
check_key("roll_deg", spatparams)
check_key("distortion_k1", distparams)
check_key("distortion_k2", distparams)
check_key("distortion_k3", distparams)
check_key("xmin", ptsparams)
check_key("xmax", ptsparams)
check_key("xtickcount", ptsparams, int)
check_key("ymin", ptsparams)
check_key("ymax", ptsparams)
check_key("ytickcount", ptsparams, int)
result['projection_params']=projparams
result['spatial_params']=spatparams
result['distortion_params']=distparams
result['points_params']=ptsparams
result['detections']=json.loads(form['detections'] or '')
result['image_points']=[]
if result['success']:
if distparams['distortion_k1'] and \
(distparams['distortion_k1'] != 0 or distparams['distortion_k2'] != 0 or distparams['distortion_k3'] != 0):
dis = ct.BrownLensDistortion(distparams['distortion_k1'], distparams['distortion_k2'], distparams['distortion_k3'])
else:
dis = None
cam = ct.Camera(ct.RectilinearProjection(**projparams),
ct.SpatialOrientation(**spatparams),
dis)
fakepts=list(itertools.product(np.linspace(ptsparams['xmin'],ptsparams['xmax'],ptsparams['xtickcount']),
np.linspace(ptsparams['ymin'],ptsparams['ymax'],ptsparams['ytickcount'])))
for worldpt in fakepts:
campt=cam.imageFromSpace((worldpt[0], worldpt[1], 0))
if np.isnan(campt).any(): continue
campt_uint=campt.astype(np.int32)
#print("worldpt={} campt={} _uint={}".format(worldpt,campt,campt_uint))
x, y = (int(campt_uint[0]), int(campt_uint[1]))
if 0 <= x and x < projparams['image_width_px'] and\
0 <= y and y < projparams['image_height_px']:
result['image_points'].append([x,y])
for det in result['detections']:
bottomCentre = np.array([det['x'] + det['w']/2, det['y'] + det['h']])
td = cam.spaceFromImage(bottomCentre)[:2]
det['td_x']=td[0]
det['td_y']=td[1]
return result
def make_fun(parameters):
exec("def f_make_fun({}): return main(locals())".format(', '.join(parameters)))
return locals()['f_make_fun']
run = make_fun(list(map(lambda x: x[0], keys)))
inputComponents = list(map(lambda x: x[1], keys))
iface = gr.Interface(fn=run, inputs=inputComponents, outputs='json')
iface.launch()