基于Python开发的单目视觉原理，研究目标图像的预处理、识别、定位方法与测距模型，设计实现一个目标识别与定位测距原型系统

4.0013388e-03 2.6088954e-05 1.8315482e-03 6.5266850e-04 4.1394685e-04 1.1888069e-03 4.6185289e-04 1.9233577e-03 3.4480388e-03 1.5150632e-05 1.9126718e-03 3.0974734e-03 2.2295833e-04 2.4043394e-03 5.0134320e-03 3.0165570e-03 1.3145239e-04 6.0759419e-04 1.6672981e-03 4.0036132e-03 6.1375191e-04 8.5916540e-03 3.0212269e-03 8.6923503e-03 7.7875235e-03 5.1612907e-04 2.9662451e-04 6.2402983e-04 2.7278440e-03 4.0510347e-03 3.0027154e-03 6.2616145e-03 4.1342211e-03 3.4480388e-03 1.5822510e-03 1.7143312e-03 3.4480388e-03 2.2462074e-04 6.1048465e-04 6.5190641e-04 2.4247873e-02 9.0785596e-04 2.1652052e-04 3.4845573e-03 3.2507646e-03 2.3346511e-03 4.0773355e-04 1.1278223e-04 5.0819669e-04 2.1340893e-01 2.1253858e-01 2.5193073e-01 2.9479565e-01 2.6774348e-01 2.8869785e-01 2.3348217e-01 1.9273490e-01 2.4443270e-01 2.4320510e-01 2.7679421e-01 2.1672263e-01 2.6813840e-01 2.8435705e-01 1.5561363e-01 2.0057173e-01 2.7812139e-01 2.2900256e-01 3.4724680e-01 2.3882260e-01 2.9132931e-01 2.0333645e-01 3.5307051e-01 2.8812452e-01 2.1722530e-01 2.1423111e-01 2.7396952e-01 2.9207940e-01 2.6626182e-01 1.7106032e-01 2.4279706e-01 2.2559055e-01 2.0940857e-01 3.8432412e-01 2.9354670e-01 2.0829958e-01 2.3669414e-01 3.0463326e-01 2.1035851e-01 2.6623117e-01 3.0835417e-01 2.5871089e-01 2.3465249e-01 2.0319416e-01 2.6292582e-01 2.1771735e-01 2.3212816e-01 2.2399387e-01 1.3799316e-01 2.3049526e-01 4.8512087e-01 4.2535066e-01 4.0184471e-01 4.1903049e-01 4.4627199e-01 4.4692268e-01 4.3569888e-01 4.2673251e-01 4.5731950e-01 3.7438176e-01 3.0619251e-01 4.0039114e-01 3.7245195e-01 4.5829878e-01 4.5814844e-01 3.6107062e-01 3.7600936e-01 3.7662883e-01 5.2492832e-01 4.2684428e-01 3.7975064e-01 4.0636707e-01 4.6364339e-01 3.4607190e-01 3.6988036e-01 3.6764668e-01 3.2524634e-01 3.1943549e-01 4.4481193e-01 3.5496498e-01 4.1356534e-01 3.2082320e-01 4.5322964e-01 3.4300770e-01 4.4485158e-01 3.9755578e-01 3.9702418e-01 3.7202285e-01 3.1131344e-01 3.4018064e-01 4.0217537e-01 3.1441868e-01 4.2535066e-01 4.1533176e-01 3.9695242e-01 3.5313531e-01 3.9400199e-01 3.4652657e-01 3.6608320e-01 3.6684161e-01 3.3929143e-03 2.6033698e-03 7.7673212e-03 6.4081099e-03 9.2794464e-03 2.8819447e-03 1.4536586e-03 9.6714455e-04 3.7992387e-03 5.9342609e-03 3.9974031e-04 6.0694735e-03 9.1304628e-03 1.7655983e-02 1.1643899e-02 4.0363794e-03 1.6463709e-03 1.0706739e-02 6.7984475e-04 7.6845878e-03 2.3516587e-02 9.9502337e-05 1.0315881e-02 1.0821735e-03 1.8887942e-03 2.4624674e-03 1.5760536e-03 3.6638868e-03 1.6253664e-03 7.8762517e-04 1.9487010e-02 1.6211862e-02 9.6714455e-04 2.2382105e-03 2.1712385e-03 9.6714455e-04 2.9674185e-03 1.9068589e-03 6.4555509e-03 8.8254342e-03 8.1777355e-03 3.4663084e-03 9.6481454e-03 9.7747764e-05 1.0706793e-02 4.2246850e-03 4.9836128e-03 1.6613867e-03 1.6856078e-01 1.6930583e-01 2.0381801e-01 2.4171317e-01 2.1689289e-01 2.4212069e-01 1.9027913e-01 1.5127382e-01 1.9696970e-01 1.9830901e-01 2.2503195e-01 1.7290786e-01 2.1618942e-01 2.3648275e-01 1.1720113e-01 1.5636322e-01 2.3357633e-01 1.8548772e-01 2.8791738e-01 1.9215793e-01 2.4470933e-01 1.5850128e-01 2.9662484e-01 2.4061109e-01 1.7172858e-01 1.6853658e-01 2.2283143e-01 2.4032537e-01 2.1849821e-01 1.2975740e-01 1.9502432e-01 1.7953012e-01 1.6504306e-01 3.2966120e-01 2.4985160e-01 1.6946778e-01 1.8991741e-01 2.4919698e-01 1.7046257e-01 2.1691882e-01 2.6018338e-01 2.1310883e-01 1.8776864e-01 1.5909082e-01 2.1620321e-01 1.7782256e-01 1.8911127e-01 1.7894094e-01 9.9649433e-02 1.8605378e-01 4.2702260e-01 3.6742642e-01 3.4284735e-01 3.6351462e-01 3.8703088e-01 3.8643219e-01 3.8033312e-01 3.6849688e-01 3.9561383e-01 3.1894438e-01 2.5437467e-01 3.4129756e-01 3.1464030e-01 3.9617829e-01 3.9513061e-01 3.0506617e-01 3.2181902e-01 3.2465822e-01 4.5849285e-01 3.6615509e-01 3.2201598e-01 3.4969244e-01 4.0175045e-01 2.8934891e-01 3.1614551e-01 3.1385643e-01 2.7059114e-01 2.6798818e-01 3.8429703e-01 3.0087709e-01 3.5349775e-01 2.7097983e-01 3.9156246e-01 2.9045741e-01 3.8972428e-01 3.3603762e-01 3.4254663e-01 3.1960575e-01 2.6050327e-01 2.8406500e-01 3.4225008e-01 2.5735736e-01 3.6742642e-01 3.5724408e-01 3.3861338e-01 2.9412113e-01 3.3288556e-01 2.9101723e-01 3.1374321e-01 3.1516519e-01 1.6665208e-03 9.3886805e-04 6.2270349e-04 1.5623211e-03 3.9549141e-04 1.6439076e-03 3.0144044e-03 3.0583810e-05 2.0234943e-03 2.6246966e-03 3.8983492e-04 2.5645160e-03 5.6944285e-03 3.3339055e-03 1.2831328e-04 4.1302346e-04 2.1101667e-03 3.4972086e-03 8.7482704e-04 9.4271115e-03 2.5080125e-03 8.7042936e-03 7.0125369e-03 3.5088415e-04 1.9451019e-04 3.9574419e-04 2.5986219e-03 3.6402032e-03 2.4900748e-03 7.0784673e-03 4.7935149e-03 3.0144044e-03 1.2869381e-03 1.4017897e-03 3.0144044e-03 1.7197161e-04 4.4525534e-04 7.8138074e-04 2.2693053e-02 1.2229281e-03 1.5754704e-04 3.7899670e-03 2.6957902e-03 2.7721274e-03 4.5733371e-04 2.2324575e-04 3.1003560e-04 2.1002397e-01 2.0931874e-01 2.4834042e-01 2.9081912e-01 2.6391644e-01 2.8536997e-01 2.3033428e-01 1.8962461e-01 2.4088505e-01 2.3991724e-01 2.7290008e-01 2.1345771e-01 2.6419304e-01 2.8088883e-01 1.5266518e-01 1.9720348e-01 2.7496549e-01 2.2580939e-01 3.4275207e-01 2.3533918e-01 2.8800391e-01 1.9991219e-01 3.4890690e-01 2.8470246e-01 2.1378625e-01 2.1075909e-01 2.7013290e-01 2.8823552e-01 2.6275308e-01 1.6787442e-01 2.3921107e-01 2.2212337e-01 2.0605918e-01 3.8041788e-01 2.9051019e-01 2.0550537e-01 2.3319159e-01 3.0043218e-01 2.0746652e-01 2.6256228e-01 3.0491843e-01 2.5539836e-01 2.3113139e-01 1.9984797e-01 2.5951290e-01 2.1484809e-01 2.2899468e-01 2.2062653e-01 1.3495710e-01 2.2721304e-01 4.8106467e-01 4.2120214e-01 3.9753504e-01 4.1511036e-01 4.4203186e-01 4.4255637e-01 4.3182495e-01 4.2255527e-01 4.5284888e-01 3.7037516e-01 3.0238339e-01 3.9606802e-01 3.6819494e-01 4.5378706e-01 4.5354234e-01 3.5697379e-01 3.7213234e-01 3.7297305e-01 5.2009409e-01 4.2241474e-01 3.7552000e-01 4.0230555e-01 4.5916611e-01 3.4185974e-01 3.6603540e-01 3.6379117e-01 3.2119479e-01 3.1570003e-01 4.4043880e-01 3.5104995e-01 4.0917086e-01 3.1725229e-01 4.4875464e-01 3.3921954e-01 4.4101743e-01 3.9296628e-01 3.9316311e-01 3.6831351e-01 3.0762140e-01 3.3601664e-01 3.9776902e-01 3.1006892e-01 4.2120214e-01 4.1114584e-01 3.9269988e-01 3.4869458e-01 3.8944692e-01 3.4244384e-01 3.6236872e-01 3.6319420e-01 3.2811792e-03 2.1674206e-03 3.8606330e-03 4.5444049e-04 1.6669051e-04 6.9315236e-04 1.5191179e-03 7.4896915e-04 1.0486334e-03 3.0115188e-03 8.3553530e-03 1.1528814e-02 9.5172421e-03 2.7099731e-03 7.1677618e-04 4.9455548e-03 1.1260396e-03 4.0113810e-03 1.7041109e-02 1.7048436e-03 3.2998306e-03 3.5839458e-03 6.5708756e-04 7.5073414e-04 1.6739794e-03 1.4404874e-04 6.5489426e-04 3.9918560e-03 9.7678136e-03 9.5698494e-03 6.9315236e-04 4.1051921e-03 4.2098821e-03 6.9315236e-04 7.7852178e-04 5.0066998e-04 4.6641147e-03 1.9877450e-02 2.9999880e-03 2.6696154e-03 2.3124511e-03 2.6940762e-03 3.6188953e-03 7.8131154e-04 1.7395433e-03 1.1236329e-03 1.8068407e-01 1.7911784e-01 2.1632614e-01 2.5732132e-01 2.3189913e-01 2.4898678e-01 1.9775994e-01 1.6095697e-01 2.0933838e-01 2.0710048e-01