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Calib in settings (#1543)
* test test * yo dawg * yo dawg 2 * yo dawg 3 * calib in ui * no pitch and yaw * no more drive rating * stricter * param is no longer a vp * less wall of test * less is more * better language * cleaner
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:d7b79038dccaa97d84bd38544573d3a52929770b76a259b25a27311464230e22
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size 13732809
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oid sha256:695622033fe2a531a2e263f5a0d19ee1fee8aadbad781092f71a3448bddd48d5
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size 13699616
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@@ -24,9 +24,8 @@ INPUTS_WANTED = 50 # We want a little bit more than we need for stability
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WRITE_CYCLES = 10 # write every 1000 cycles
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VP_INIT = np.array([W/2., H/2.])
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# These validity corners were chosen by looking at 1000
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# and taking most extreme cases with some margin.
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VP_VALIDITY_CORNERS = np.array([[W//2 - 120, 300], [W//2 + 120, 520]])
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# These values are needed to accomodate biggest modelframe
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VP_VALIDITY_CORNERS = np.array([[W//2 - 63, 300], [W//2 + 63, 520]])
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DEBUG = os.getenv("DEBUG") is not None
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@@ -38,8 +37,8 @@ def is_calibration_valid(vp):
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def sanity_clip(vp):
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if np.isnan(vp).any():
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vp = VP_INIT
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return np.array([np.clip(vp[0], VP_VALIDITY_CORNERS[0,0] - 20, VP_VALIDITY_CORNERS[1,0] + 20),
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np.clip(vp[1], VP_VALIDITY_CORNERS[0,1] - 20, VP_VALIDITY_CORNERS[1,1] + 20)])
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return np.array([np.clip(vp[0], VP_VALIDITY_CORNERS[0,0] - 5, VP_VALIDITY_CORNERS[1,0] + 5),
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np.clip(vp[1], VP_VALIDITY_CORNERS[0,1] - 5, VP_VALIDITY_CORNERS[1,1] + 5)])
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def intrinsics_from_vp(vp):
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@@ -69,10 +68,7 @@ class Calibrator():
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if calibration_params:
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try:
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calibration_params = json.loads(calibration_params)
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if 'calib_radians' in calibration_params:
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self.vp = vp_from_rpy(calibration_params["calib_radians"])
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else:
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self.vp = np.array(calibration_params["vanishing_point"])
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self.vp = vp_from_rpy(calibration_params["calib_radians"])
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if not np.isfinite(self.vp).all():
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self.vp = copy.copy(VP_INIT)
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self.vps = np.tile(self.vp, (INPUTS_WANTED, 1))
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