example.md 11.5 KB
Newer Older
raojy's avatar
first  
raojy committed
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
# 更多示例

本文档展示了 [README](../../README_CN.md) 之外的更多示例。若需一次性运行全部示例,可使用 [examples/examples.jsonl](../../examples/examples.jsonl) 并配合 `--jsonl_path` 参数(参见 README 中[「一次测试多个问题」](../../README_CN.md#一次测试多个问题)小节)。

---

#### 示例8

该例题源自 [MindCube](https://github.com/mll-lab-nu/MindCube)

```bash
python example.py \
  --image_paths examples/Q8_1.jpg examples/Q8_2.jpg examples/Q8_3.jpg examples/Q8_4.jpg \
  --question "Based on these four images (image 1, 2, 3, and 4) showing the pink bottle from different viewpoints (front, left, back, and right), with each camera aligned with room walls and partially capturing the surroundings: From the viewpoint presented in image 4, what is to the left of the pink bottle?\nOptions: A. Pink plush toy and headboard B. Window and blue curtain C. Closet and door D. White wall\nAnswer with the option's letter from the given choices directly." \
  --model_path sensenova/SenseNova-SI-1.3-InternVL3-8B
```

<details open>
  <summary><strong>示例8详情</strong></summary>
  <p><strong>Q: </strong>Based on these four images (image 1, 2, 3, and 4) showing the pink bottle from different viewpoints (front, left, back, and right), with each camera aligned with room walls and partially capturing the surroundings: From the viewpoint presented in image 4, what is to the left of the pink bottle?\nOptions: A. Pink plush toy and headboard B. Window and blue curtain C. Closet and door D. White wall\nAnswer with the option's letter from the given choices directly.</p>
  <table>
    <tr>
      <td align="center" width="25%" style="padding:4px;">
        <img src="../../examples/Q8_1.jpg" alt="Image 1" width="100%">
      </td>
      <td align="center" width="25%" style="padding:4px;">
        <img src="../../examples/Q8_2.jpg" alt="Image 2" width="100%">
      </td>
      <td align="center" width="25%" style="padding:4px;">
        <img src="../../examples/Q8_3.jpg" alt="Image 3" width="100%">
      </td>
      <td align="center" width="25%" style="padding:4px;">
        <img src="../../examples/Q8_4.jpg" alt="Image 4" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案: C</strong></p>
</details>

---

#### 示例9

该例题源自 [SITE-Bench](https://github.com/wenqi-wang20/SITE-Bench)

```bash
python example.py \
  --image_paths examples/Q9.jpg \
  --question "Question: Consider the real-world 3D locations and orientations of the objects. Which side of the bus in the center is facing the bus stop?\nOptions: \nA. front\nB. left\nC. back\nD. right\nGive me the answer letter directly. The best answer is:" \
  --model_path sensenova/SenseNova-SI-1.3-InternVL3-8B
```

<details open>
  <summary><strong>示例9详情</strong></summary>
  <p><strong>Q: </strong>Question: Consider the real-world 3D locations and orientations of the objects. Which side of the bus in the center is facing the bus stop?\nOptions: \nA. front\nB. left\nC. back\nD. right\nGive me the answer letter directly. The best answer is:</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q9.jpg" alt="Image" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案: D</strong></p>
</details>

---

#### 示例10

该例题源自 [SITE-Bench](https://github.com/wenqi-wang20/SITE-Bench):

```bash
python example.py \
  --image_paths examples/Q10.jpg \
  --question "Question: Consider the real-world 3D orientations of the objects. Are the arrow on street sign and the taxi facing same or similar directions, or very different directions?\nOptions: \nA. same or similar directions\nB. very different directions\nGive me the answer letter directly. The best answer is:" \
  --model_path sensenova/SenseNova-SI-1.3-InternVL3-8B
```

<details open>
  <summary><strong>示例10详情</strong></summary>
  <p><strong>Q: </strong>Question: Consider the real-world 3D orientations of the objects. Are the arrow on street sign and the taxi facing same or similar directions, or very different directions? Options: A. same or similar directions, B. very different directions. Give me the answer letter directly. The best answer is:</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q10.jpg" alt="Image" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案: A</strong></p>
</details>

---

#### 示例11

该例题源自 [SITE-Bench](https://github.com/wenqi-wang20/SITE-Bench):

```bash
python example.py \
  --image_paths examples/Q11.jpg \
  --question "Question: What shape are all the men standing in?\nOptions: A. circle B. rectangle C. triangle D. square\nGive me the answer letter directly. The best answer is:" \
  --model_path sensenova/SenseNova-SI-1.3-InternVL3-8B
```

<details open>
  <summary><strong>示例11详情</strong></summary>
  <p><strong>Q: </strong>Question: What shape are all the men standing in?\nOptions: A. circle B. rectangle C. triangle D. square\nGive me the answer letter directly. The best answer is:</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q11.jpg" alt="Image" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案: A</strong></p>
</details>

---

#### 示例12

该例题源自 [ViewSpatial-Bench](https://github.com/ZJU-REAL/ViewSpatial-Bench)

```bash
python example.py \
  --image_paths examples/Q12.jpg \
  --question "From the perspective of this man who doesn't wear glasses, where is the man wearing glasses located beside him?\nOptions: A. left B. back-right C. front D. right\nAnswer with the option's letter from the given choices directly." \
  --model_path sensenova/SenseNova-SI-1.3-InternVL3-8B
```

<details open>
  <summary><strong>示例12详情</strong></summary>
  <p><strong>Q: </strong>From the perspective of this man who doesn't wear glasses, where is the man wearing glasses located beside him? Options: A. left, B. back-right, C. front, D. right. Answer with the option's letter from the given choices directly.</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q12.jpg" alt="Image" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案: A</strong></p>
</details>

---

#### 示例13

该例题源自 [MMSI-Bench](https://github.com/InternRobotics/MMSI-Bench),测试模型在开放式简答题上的能力:

```bash
python example.py \
  --image_paths examples/Q13_1.png examples/Q13_2.png \
  --question "The iMac is in the northern part of the room. In which direction is the area where students do their homework?" \
  --model_path sensenova/SenseNova-SI-1.3-InternVL3-8B
```

<details open>
  <summary><strong>示例13详情</strong></summary>
  <p><strong>Q: </strong>The iMac is in the northern part of the room. In which direction is the area where students do their homework?</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q13_1.png" alt="First image" width="100%">
      </td>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q13_2.png" alt="Second image" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案: Northwest corner</strong></p>
</details>

---

#### 示例14

该例题源自 [MMSI-Bench](https://github.com/InternRobotics/MMSI-Bench),测试模型在开放式简答题上的能力:

```bash
python example.py \
  --image_paths examples/Q14_1.png examples/Q14_2.png \
  --question "How many building models are captured in total in these two pictures?" \
  --model_path sensenova/SenseNova-SI-1.3-InternVL3-8B
```

<details open>
  <summary><strong>示例14详情</strong></summary>
  <p><strong>Q: </strong>How many building models are captured in total in these two pictures?</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q14_1.png" alt="First image" width="100%">
      </td>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q14_2.png" alt="Second image" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案: 4</strong></p>
</details>

---

#### 示例 15

此示例展示模型的 **立体几何(三视图)** 能力:

```bash
python example.py \
  --image_paths examples/Q15.png \
  --question "请将你的思考过程放在<think></think>标签内,并将你的最终答案放在<answer></answer>标签内。" \
  --model_path sensenova/SenseNova-SI-1.5-InternVL3-8B
```

<!-- Example 15 -->
<details open>
  <summary><strong>示例 15 详情</strong></summary>
  <p><strong>问题:</strong>请将你的思考过程放在&lt;think> &lt;/think>标签内,并将你的最终答案放在&lt;answer> &lt;/answer>标签内。</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q15.png" alt="第一张图片" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案:B</strong></p>
</details>

---

#### 示例 16

此示例展示模型的 **立体几何(三视图)** 能力:

```bash
python example.py \
  --image_paths examples/Q16.png \
  --question "请将你的思考过程放在<think></think>标签内,并将你的最终答案放在<answer></answer>标签内。" \
  --model_path sensenova/SenseNova-SI-1.5-InternVL3-8B
```

<!-- Example 6 -->
<details open>
  <summary><strong>示例 16 详情</strong></summary>
  <p><strong>问题:</strong>请将你的思考过程放在&lt;think> &lt;/think>标签内,并将你的最终答案放在&lt;answer> &lt;/answer>标签内。</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q16.png" alt="第一张图片" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案:C</strong></p>
</details>

---

#### 示例 17

此示例展示模型的 **立体几何(3D图形推理)** 能力:

```bash
python example.py \
  --image_paths examples/Q17.png \
  --question "请将你的思考过程放在<think></think>标签内,并将你的最终答案放在<answer></answer>标签内。" \
  --model_path sensenova/SenseNova-SI-1.5-InternVL3-8B
```

<!-- Example 7 -->
<details open>
  <summary><strong>示例 17 详情</strong></summary>
  <p><strong>问题:</strong>请将你的思考过程放在&lt;think> &lt;/think>标签内,并将你的最终答案放在&lt;answer> &lt;/answer>标签内。</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q17.png" alt="第一张图片" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案:C</strong></p>
</details>

---

#### 示例 18

此示例展示模型的 **立体几何(三视图)** 能力:

```bash
python example.py \
  --image_paths examples/Q18.png \
  --question "请将你的思考过程放在<think></think>标签内,并将你的最终答案放在<answer></answer>标签内。" \
  --model_path sensenova/SenseNova-SI-1.5-InternVL3-8B
```

<!-- Example 8 -->
<details open>
  <summary><strong>示例 18 详情</strong></summary>
  <p><strong>问题:</strong>请将你的思考过程放在&lt;think> &lt;/think>标签内,并将你的最终答案放在&lt;answer> &lt;/answer>标签内。</p>
  <table>
    <tr>
      <td align="center" width="50%" style="padding:4px;">
        <img src="../../examples/Q18.png" alt="第一张图片" width="100%">
      </td>
    </tr>
  </table>
  <p><strong>正确答案:A</strong></p>
</details>