예제 #1
0
파일: fit_poly.py 프로젝트: whiker/whml
def truePoints():
	ret1, rowCoeff, nRow, _ = dfile.loadMatrix('data/row_coeff.txt', float)
	ret2, colCoeff, nCol, _ = dfile.loadMatrix('data/col_coeff.txt', float)
	if ret1 != 0 or ret2 != 0:
		print 'truePoints() >> load coeff失败'
		return
	
	xLimit = [0, 800]
	ptxs = []
	ptys = []
	
	for i in xrange(nRow):
		ptx = rowCrossPoints(rowCoeff[i], colCoeff, xLimit[0], xLimit[1])
		if len(ptx) != nCol:
			print "truePoints() >> 第%d行的交叉点数: %d<%d" %(i, len(ptx), nCol)
		pty = [util.polyValue(x, rowCoeff[i]) for x in ptx]
		plotFitResult(ptx, pty, rowCoeff[i], None, 'g')
		ptxs.append(ptx)
		ptys.append(pty)
	ptfile.savePoints(ptxs, ptys, 'data/true_pts.txt')
	
	ptxs1 = -np.transpose(ptys)
	ptys1 = np.transpose(ptxs)
	for i in xrange(nCol):
		plotFitResult(ptxs1[i], ptys1[i], colCoeff[i], 1, 'g')
	
	#plt.xlim(-50, 850)
	#plt.ylim(-400, -150)
	plt.show()
예제 #2
0
파일: fit_poly.py 프로젝트: whiker/whml
def rowCrossPoints(coeff, colCoeff, xMin, xMax, step=0.01):
	ptx = []
	x = np.linspace(xMin, xMax, 1+(xMax-xMin)/step)
	col = 0
	errPrev = float('inf')
	for i in xrange(len(x)):
		y = util.polyValue(x[i], coeff)
		err = abs(util.polyValue(-y, colCoeff[col]) - x[i])
		if err < errPrev:
			errPrev = err
		else:
			ptx.append(x[i-1])
			col += 1
			if col == len(colCoeff):
				break
			errPrev = abs(util.polyValue(y, colCoeff[col]) + x[i])
	return ptx
예제 #3
0
파일: fit_poly.py 프로젝트: whiker/whml
def plotFitResult(x, y, coeff, flag=None, color='b', limit1=None, limit2=None):
	if len(x) < 1:
		print 'plotFitResult() >> 空数据'
		return
	if len(y) != len(x):
		print 'plotFitResult() >> x和y的维度不一致'
		return
	if limit1 == None:
		limit1 = int(np.min(x)) - 10
	if limit2 == None:
		limit2 = int(np.max(x)) + 10
	tx = range(limit1, limit2)
	ty = []
	for i in xrange(0, len(tx)):
		ty.append( util.polyValue(tx[i], coeff) )
	if flag == None:
		plt.plot(x, y, color+'.')
		plt.plot(tx, ty, 'r')
	else:
		x1 = [-x[i] for i in xrange(len(x))]
		tx1 = [-tx[i] for i in xrange(len(tx))]
		plt.plot(y, x1, color+'.')
		plt.plot(ty, tx1, 'r')