OniSplit/Dae/Sampler.cs

using System;
using System.Collections.Generic;

namespace Oni.Dae
{
    internal class Sampler : Entity
    {
        private readonly List<Input> inputs = new List<Input>();
        private float outputScale = 1.0f;

        public List<Input> Inputs => inputs;

        public int FrameCount
        {
            get
            {
                var input = inputs.Find(i => i.Semantic == Semantic.Input);

                if (input == null)
                    return 0;

                return FMath.RoundToInt32(input.Source.FloatData.Last() * 60.0f) + 1;
            }
        }

        public Sampler Scale(float scale)
        {
            var newSampler = new Sampler
            {
                outputScale = scale
            };

            newSampler.inputs.AddRange(inputs);

            return newSampler;
        }

        public Sampler Split(int offset)
        {
            var newSampler = new Sampler();

            foreach (var input in inputs)
            {
                var source = input.Source;

                switch (input.Semantic)
                {
                    case Semantic.Input:
                        newSampler.inputs.Add(input);
                        break;

                    case Semantic.Interpolation:
                        newSampler.inputs.Add(input);
                        break;

                    case Semantic.Output:
                        {
                            var data = new float[source.Count];

                            for (int i = 0; i < data.Length; i++)
                                data[i] = source.FloatData[i * source.Stride + offset];

                            newSampler.inputs.Add(new Input
                            {
                                Source = new Source(data, 1),
                                Semantic = input.Semantic
                            });
                        }
                        break;

                    case Semantic.InTangent:
                    case Semantic.OutTangent:
                        {
                            var data = new float[source.Count * 2];

                            for (int i = 0; i < data.Length; i++)
                            {
                                data[i + 0] = source.FloatData[i * source.Stride];
                                data[i + 1] = source.FloatData[i * source.Stride + (offset + 1)];
                            }

                            newSampler.inputs.Add(new Input
                            {
                                Source = new Source(data, 2),
                                Semantic = input.Semantic
                            });
                        }
                        break;
                }
            }

            return newSampler;
        }

        public float[] Sample() => Sample(0, FrameCount - 1);

        public float[] Sample(int start, int end)
        {
            var result = Sample(start, end, 0);

            if (outputScale != 1.0f)
            {
                for (int i = 0; i < result.Length; i++)
                    result[i] *= outputScale;
            }

            return result;
        }

        private float[] Sample(int start, int end, int offset)
        {
            float[] input = null;
            float[] output = null;
            int outputStride = 1;
            Vector2[] inTangent = null;
            Vector2[] outTangent = null;
            string[] interpolation = null;

            foreach (var i in inputs)
            {
                switch (i.Semantic)
                {
                    case Semantic.Input:
                        input = i.Source.FloatData;
                        break;

                    case Semantic.Output:
                        output = i.Source.FloatData;
                        outputStride = i.Source.Stride;
                        break;

                    case Semantic.InTangent:
                        inTangent = FloatArrayToVector2Array(i.Source.FloatData);
                        break;

                    case Semantic.OutTangent:
                        outTangent = FloatArrayToVector2Array(i.Source.FloatData);
                        break;

                    case Semantic.Interpolation:
                        interpolation = i.Source.NameData;
                        break;
                }
            }

            if (offset >= outputStride)
                throw new ArgumentException("The offset must be less than the output stride", "offset");

            float[] result = new float[end - start + 1];

            if (input == null || output == null || interpolation == null)
            {
                //
                // If we don't have enough data to sample then we just return 0 for all frames.
                //

                return result;
            }

            if (output.Length == outputStride)
            {
                //
                // If the output contains only one element then use that for all frames.
                //

                for (int i = 0; i < result.Length; i++)
                    result[i] = output[offset];

                return result;
            }

            float inputFirst = input.First();
            float outputFirst = output[offset];

            float inputLast = input.Last();
            float outputLast = output[output.Length - outputStride + offset];

            for (int frame = 0; frame < result.Length; frame++)
            {
                float t = (frame + start) / 60.0f;

                if (t <= inputFirst)
                {
                    result[frame] = outputFirst;
                    continue;
                }

                if (t >= inputLast)
                {
                    result[frame] = outputLast;
                    continue;
                }

                int index = Array.BinarySearch(input, t);

                if (index >= 0)
                {
                    result[frame] = output[index * outputStride + offset];
                    continue;
                }

                index = ~index;

                if (index == 0)
                {
                    result[frame] = outputFirst;
                    continue;
                }

                if (index * outputStride + offset >= output.Length)
                {
                    result[frame] = outputLast;
                    continue;
                }

                var p0 = new Vector2(input[index - 1], output[(index - 1) * outputStride + offset]);
                var p1 = new Vector2(input[index], output[index * outputStride + offset]);

                float s = (t - p0.X) / (p1.X - p0.X);

                switch (interpolation[index - 1])
                {
                    default:
                        Console.Error.WriteLine("Interpolation type '{0}' is not supported, using LINEAR", interpolation[index - 1]);
                        goto case "LINEAR";

                    case "LINEAR":
                        result[frame] = p0.Y + s * (p1.Y - p0.Y);
                        break;

                    case "BEZIER":
                        if (inTangent == null || outTangent == null)
                            throw new System.IO.InvalidDataException("Bezier interpolation was specified but in/out tangents are not present");

                        var c0 = outTangent[index - 1];
                        var c1 = inTangent[index];

                        float invS = 1.0f - s;

                        result[frame] =
                              p0.Y * invS * invS * invS
                            + 3.0f * c0.Y * invS * invS * s
                            + 3.0f * c1.Y * invS * s * s
                            + p1.Y * s * s * s;

                        break;
                }
            }

            return result;
        }

        private static Vector2[] FloatArrayToVector2Array(float[] array)
        {
            var result = new Vector2[array.Length / 2];

            for (int i = 0; i < result.Length; i++)
            {
                result[i].X = array[i * 2 + 0];
                result[i].Y = array[i * 2 + 1];
            }

            return result;
        }
    }
}
Revision:	1114
Committed:	Wed Jan 22 14:08:57 2020 UTC (5 years, 9 months ago) by iritscen
File size:	8515 byte(s)
Log Message:	Adding OniSplit source code (v0.9.99.0). Many thanks to Neo for all his work over the years.
#	Content
1	using System;
2	using System.Collections.Generic;
3
4	namespace Oni.Dae
5	{
6	internal class Sampler : Entity
7	{
8	private readonly List<Input> inputs = new List<Input>();
9	private float outputScale = 1.0f;
10
11	public List<Input> Inputs => inputs;
12
13	public int FrameCount
14	{
15	get
16	{
17	var input = inputs.Find(i => i.Semantic == Semantic.Input);
18
19	if (input == null)
20	return 0;
21
22	return FMath.RoundToInt32(input.Source.FloatData.Last() * 60.0f) + 1;
23	}
24	}
25
26	public Sampler Scale(float scale)
27	{
28	var newSampler = new Sampler
29	{
30	outputScale = scale
31	};
32
33	newSampler.inputs.AddRange(inputs);
34
35	return newSampler;
36	}
37
38	public Sampler Split(int offset)
39	{
40	var newSampler = new Sampler();
41
42	foreach (var input in inputs)
43	{
44	var source = input.Source;
45
46	switch (input.Semantic)
47	{
48	case Semantic.Input:
49	newSampler.inputs.Add(input);
50	break;
51
52	case Semantic.Interpolation:
53	newSampler.inputs.Add(input);
54	break;
55
56	case Semantic.Output:
57	{
58	var data = new float[source.Count];
59
60	for (int i = 0; i < data.Length; i++)
61	data[i] = source.FloatData[i * source.Stride + offset];
62
63	newSampler.inputs.Add(new Input
64	{
65	Source = new Source(data, 1),
66	Semantic = input.Semantic
67	});
68	}
69	break;
70
71	case Semantic.InTangent:
72	case Semantic.OutTangent:
73	{
74	var data = new float[source.Count * 2];
75
76	for (int i = 0; i < data.Length; i++)
77	{
78	data[i + 0] = source.FloatData[i * source.Stride];
79	data[i + 1] = source.FloatData[i * source.Stride + (offset + 1)];
80	}
81
82	newSampler.inputs.Add(new Input
83	{
84	Source = new Source(data, 2),
85	Semantic = input.Semantic
86	});
87	}
88	break;
89	}
90	}
91
92	return newSampler;
93	}
94
95	public float[] Sample() => Sample(0, FrameCount - 1);
96
97	public float[] Sample(int start, int end)
98	{
99	var result = Sample(start, end, 0);
100
101	if (outputScale != 1.0f)
102	{
103	for (int i = 0; i < result.Length; i++)
104	result[i] *= outputScale;
105	}
106
107	return result;
108	}
109
110	private float[] Sample(int start, int end, int offset)
111	{
112	float[] input = null;
113	float[] output = null;
114	int outputStride = 1;
115	Vector2[] inTangent = null;
116	Vector2[] outTangent = null;
117	string[] interpolation = null;
118
119	foreach (var i in inputs)
120	{
121	switch (i.Semantic)
122	{
123	case Semantic.Input:
124	input = i.Source.FloatData;
125	break;
126
127	case Semantic.Output:
128	output = i.Source.FloatData;
129	outputStride = i.Source.Stride;
130	break;
131
132	case Semantic.InTangent:
133	inTangent = FloatArrayToVector2Array(i.Source.FloatData);
134	break;
135
136	case Semantic.OutTangent:
137	outTangent = FloatArrayToVector2Array(i.Source.FloatData);
138	break;
139
140	case Semantic.Interpolation:
141	interpolation = i.Source.NameData;
142	break;
143	}
144	}
145
146	if (offset >= outputStride)
147	throw new ArgumentException("The offset must be less than the output stride", "offset");
148
149	float[] result = new float[end - start + 1];
150
151	if (input == null \|\| output == null \|\| interpolation == null)
152	{
153	//
154	// If we don't have enough data to sample then we just return 0 for all frames.
155	//
156
157	return result;
158	}
159
160	if (output.Length == outputStride)
161	{
162	//
163	// If the output contains only one element then use that for all frames.
164	//
165
166	for (int i = 0; i < result.Length; i++)
167	result[i] = output[offset];
168
169	return result;
170	}
171
172	float inputFirst = input.First();
173	float outputFirst = output[offset];
174
175	float inputLast = input.Last();
176	float outputLast = output[output.Length - outputStride + offset];
177
178	for (int frame = 0; frame < result.Length; frame++)
179	{
180	float t = (frame + start) / 60.0f;
181
182	if (t <= inputFirst)
183	{
184	result[frame] = outputFirst;
185	continue;
186	}
187
188	if (t >= inputLast)
189	{
190	result[frame] = outputLast;
191	continue;
192	}
193
194	int index = Array.BinarySearch(input, t);
195
196	if (index >= 0)
197	{
198	result[frame] = output[index * outputStride + offset];
199	continue;
200	}
201
202	index = ~index;
203
204	if (index == 0)
205	{
206	result[frame] = outputFirst;
207	continue;
208	}
209
210	if (index * outputStride + offset >= output.Length)
211	{
212	result[frame] = outputLast;
213	continue;
214	}
215
216	var p0 = new Vector2(input[index - 1], output[(index - 1) * outputStride + offset]);
217	var p1 = new Vector2(input[index], output[index * outputStride + offset]);
218
219	float s = (t - p0.X) / (p1.X - p0.X);
220
221	switch (interpolation[index - 1])
222	{
223	default:
224	Console.Error.WriteLine("Interpolation type '{0}' is not supported, using LINEAR", interpolation[index - 1]);
225	goto case "LINEAR";
226
227	case "LINEAR":
228	result[frame] = p0.Y + s * (p1.Y - p0.Y);
229	break;
230
231	case "BEZIER":
232	if (inTangent == null \|\| outTangent == null)
233	throw new System.IO.InvalidDataException("Bezier interpolation was specified but in/out tangents are not present");
234
235	var c0 = outTangent[index - 1];
236	var c1 = inTangent[index];
237
238	float invS = 1.0f - s;
239
240	result[frame] =
241	p0.Y * invS * invS * invS
242	+ 3.0f * c0.Y * invS * invS * s
243	+ 3.0f * c1.Y * invS * s * s
244	+ p1.Y * s * s * s;
245
246	break;
247	}
248	}
249
250	return result;
251	}
252
253	private static Vector2[] FloatArrayToVector2Array(float[] array)
254	{
255	var result = new Vector2[array.Length / 2];
256
257	for (int i = 0; i < result.Length; i++)
258	{
259	result[i].X = array[i * 2 + 0];
260	result[i].Y = array[i * 2 + 1];
261	}
262
263	return result;
264	}
265	}
266	}