def capture_images_count():
"""
JSON requirements:
- device-type
- capture-count
"""
data = request.get_json()
# Ensure body data
# TODO(jordanhuus): change to decorator
if "capture-count" not in data.keys():
abort(400, "Missing 'capture-count' data.")
try:
camera = Camera(camera_state=Camera.STATE_PENDING_CAPTURE)
db.session.add(camera)
db.session.commit()
# Capture new image
# TODO(jordanhuus): refactor to a simpler parameter set
CaptureImage.multiple_captures(data["capture-count"], camera.id, db)
return jsonify({"success": True, "camera-session-id": camera.id})
except Exception as e:
return jsonify({"success": False, "error": str(e)})
def find_one(self, id):
response = requests.get("%s/%s" % (self.url, id))
if(response.ok):
data = response.json()
if data is not None:
return Camera(
float(data["focalLength"]),
float(data["height"]),
np.array([data["aDistance"], data["bDistance"], data["cDistance"]], dtype=np.float64),
np.array([
[data["aX"], data["aY"]],
[data["bX"], data["bY"]],
[data["cX"], data["cY"]],
], dtype=np.float64),
[ Role(role["id"], role["description"],
[Action(action["id"], action["description"]) for action in role["actions"]]) for role in data["roles"]])
from PyQt5.QtWidgets import QApplication
from view import loadUi_example
from model import Camera
if __name__ == '__main__':
camera = Camera(0)
app = QApplication([])
start_window = loadUi_example(
camera) #loadUi_example is inheriting Camera class
start_window.show()
app.exit(app.exec_()
) # QApplication and this line are for creating infinite loop
# In this case, the infinite loop is given by app.exec_(). If you remove that line, you will see that the program runs,
# but nothing actually happens. . It is important to note that before defining any windows, you should always define the
# application in which they are going to run.
def test_calibrate(self): calibrator = ImageLocatorCalibrator( camera=Camera(0.02,4.2, distances=np.array([1, 1.5, 2]), measures=np.array([[100, 200], [300, 400], [400, 300]]) )) np.testing.assert_allclose(calibrator.x, np.array([-0.14235033, 0.690983004, 4982.261536]), rtol=1e-6)
