Rebuild trinity visualizer from bare SDL and OpenGL to using Raylib. Added Code for serial parsing on linux. Current functionality reads incoming quaternion packet data coming in over serial and displays the values and also visualizes with a cube, connect and disconnect is implemented. Essentially rebuild the functionality of the old version with added linux support.

2026-09-13 19:44:26 +02:00
commit 62abf4d5d6
821 changed files with 239694 additions and 0 deletions
@@ -0,0 +1,119 @@
+/// @ref gtx_matrix_query
+
+namespace glm
+{
+	template<typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isNull(mat<2, 2, T, Q> const& m, T const& epsilon)
+	{
+		bool result = true;
+		for(length_t i = 0; result && i < m.length() ; ++i)
+			result = isNull(m[i], epsilon);
+		return result;
+	}
+
+	template<typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isNull(mat<3, 3, T, Q> const& m, T const& epsilon)
+	{
+		bool result = true;
+		for(length_t i = 0; result && i < m.length() ; ++i)
+			result = isNull(m[i], epsilon);
+		return result;
+	}
+
+	template<typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isNull(mat<4, 4, T, Q> const& m, T const& epsilon)
+	{
+		bool result = true;
+		for(length_t i = 0; result && i < m.length() ; ++i)
+			result = isNull(m[i], epsilon);
+		return result;
+	}
+
+	template<length_t C, length_t R, typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isIdentity(mat<C, R, T, Q> const& m, T const& epsilon)
+	{
+		bool result = true;
+		for(length_t i = 0; result && i < m.length(); ++i)
+		{
+			for(length_t j = 0; result && j < glm::min(i, m[0].length()); ++j)
+				result = abs(m[i][j]) <= epsilon;
+			if(result && i < m[0].length())
+				result = abs(m[i][i] - 1) <= epsilon;
+			for(length_t j = i + 1; result && j < m[0].length(); ++j)
+				result = abs(m[i][j]) <= epsilon;
+		}
+		return result;
+	}
+
+	template<typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isNormalized(mat<2, 2, T, Q> const& m, T const& epsilon)
+	{
+		bool result(true);
+		for(length_t i = 0; result && i < m.length(); ++i)
+			result = isNormalized(m[i], epsilon);
+		for(length_t i = 0; result && i < m.length(); ++i)
+		{
+			typename mat<2, 2, T, Q>::col_type v;
+			for(length_t j = 0; j < m.length(); ++j)
+				v[j] = m[j][i];
+			result = isNormalized(v, epsilon);
+		}
+		return result;
+	}
+
+	template<typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isNormalized(mat<3, 3, T, Q> const& m, T const& epsilon)
+	{
+		bool result(true);
+		for(length_t i = 0; result && i < m.length(); ++i)
+			result = isNormalized(m[i], epsilon);
+		for(length_t i = 0; result && i < m.length(); ++i)
+		{
+			typename mat<3, 3, T, Q>::col_type v;
+			for(length_t j = 0; j < m.length(); ++j)
+				v[j] = m[j][i];
+			result = isNormalized(v, epsilon);
+		}
+		return result;
+	}
+
+	template<typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isNormalized(mat<4, 4, T, Q> const& m, T const& epsilon)
+	{
+		bool result(true);
+		for(length_t i = 0; result && i < m.length(); ++i)
+			result = isNormalized(m[i], epsilon);
+		for(length_t i = 0; result && i < m.length(); ++i)
+		{
+			typename mat<4, 4, T, Q>::col_type v;
+			for(length_t j = 0; j < m.length(); ++j)
+				v[j] = m[j][i];
+			result = isNormalized(v, epsilon);
+		}
+		return result;
+	}
+
+	template<length_t C, length_t R, typename T, qualifier Q>
+	GLM_FUNC_QUALIFIER bool isOrthogonal(mat<C, R, T, Q> const& m, T const& epsilon)
+	{
+		bool result = true;
+		for(length_t i(0); result && i < m.length(); ++i)
+		{
+			result = isNormalized(m[i], epsilon);
+			for(length_t j(i + 1); result && j < m.length(); ++j)
+				result = abs(dot(m[i], m[j])) <= epsilon;
+		}
+
+		if(result)
+		{
+			mat<C, R, T, Q> tmp = transpose(m);
+			for(length_t i(0); result && i < m.length(); ++i)
+			{
+				result = isNormalized(tmp[i], epsilon);
+				for(length_t j(i + 1); result && j < m.length(); ++j)
+					result = abs(dot(tmp[i], tmp[j])) <= epsilon;
+			}
+		}
+		return result;
+	}
+}//namespace glm