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vsegments - npm Package Compare versions

Comparing version
0.1.2
 to
0.1.3
+256
TROUBLESHOOTING.md
# Troubleshooting Guide
## Common Issues and Solutions
### 1. Google Gemini API Errors
#### Error: 500 Internal Server Error
```
GoogleGenerativeAIFetchError: [GoogleGenerativeAI Error]: Error fetching from https://generativelanguage.googleapis.com/v1beta/models/...: [500 Internal Server Error]
```
**Possible Causes:**
- Temporary API outage
- Model name is incorrect or unavailable
- API quota exceeded
- Image is too large or in unsupported format
**Solutions:**
1. **Try a different model:**
```javascript
const vs = new VSegments({
apiKey: 'YOUR_API_KEY',
model: 'gemini-3-pro-preview' // Default model
});
```
2. **Wait and retry:** The API may be experiencing temporary issues
3. **Check your API key:** Verify it's valid and has proper permissions
4. **Reduce image size:** Ensure images are under 4MB and reasonable dimensions
5. **Verify image path:** Make sure the image file exists and is readable
#### Error: 403 Forbidden
```
GoogleGenerativeAIFetchError: [403 Forbidden]
```
**Causes:**
- Invalid API key
- API key doesn't have necessary permissions
- API not enabled for your project
**Solutions:**
1. Verify your API key is correct
2. Enable the Generative Language API in Google Cloud Console
3. Check API key restrictions in Google Cloud Console
#### Error: 429 Too Many Requests
```
GoogleGenerativeAIFetchError: [429 Too Many Requests]
```
**Causes:**
- Rate limit exceeded
- Quota exceeded
**Solutions:**
1. Wait before making more requests
2. Implement rate limiting in your code
3. Upgrade your API quota if needed
### 2. Image Loading Issues
#### Error: Image file not found
```
Error: Image file not found: path/to/image.jpg
```
**Solutions:**
1. Check the file path is correct (use absolute paths)
2. Verify the file exists: `ls path/to/image.jpg`
3. Check file permissions
#### Unsupported Image Format
**Supported formats:** JPG, JPEG, PNG, GIF, WEBP
**Solutions:**
1. Convert your image to a supported format
2. Check the file extension is correct
### 3. Module/Package Issues
#### Warning: MODULE_TYPELESS_PACKAGE_JSON
```
(node:xxxxx) [MODULE_TYPELESS_PACKAGE_JSON] Warning: Module type of file:///... is not specified
```
**Solution:**
Add to your `package.json`:
```json
{
"type": "module"
}
```
Or use CommonJS syntax:
```javascript
const VSegments = require('vsegments');
```
#### Error: Cannot find module 'vsegments'
```
Error: Cannot find module 'vsegments'
```
**Solutions:**
1. Install the package: `npm install vsegments`
2. Check you're in the right directory
3. Verify `node_modules` exists
### 4. Segmentation Issues
#### No objects detected
```
Found 0 objects
```
**Possible causes:**
- Image is too simple/blank
- Objects are not clear enough
- Prompt is too specific
**Solutions:**
1. Use a clearer image
2. Try a custom prompt
3. Adjust the model settings
#### Poor segmentation quality
**Solutions:**
1. **Use higher quality images:**
```javascript
const result = await vs.segment('image.jpg', {
maxSize: 2048 // Increase max size
});
```
2. **Adjust temperature:**
```javascript
const vs = new VSegments({
apiKey: 'YOUR_API_KEY',
temperature: 0.2 // Lower = more consistent
});
```
3. **Use custom prompts:**
```javascript
const result = await vs.segment('image.jpg', {
prompt: 'Detect and segment all people and vehicles in this image'
});
```
### 5. Performance Issues
#### Slow processing
**Solutions:**
1. **Reduce image size:**
```javascript
const result = await vs.segment('image.jpg', {
maxSize: 512 // Smaller = faster
});
```
2. **Use recommended model:**
```javascript
const vs = new VSegments({
apiKey: 'YOUR_API_KEY',
model: 'gemini-3-pro-preview' // Default high-quality model
});
```
3. **Process images in batches** rather than all at once
### 6. Canvas/Visualization Issues
#### Error: Cannot find module 'canvas'
```
Error: Cannot find module 'canvas'
```
**Solutions:**
1. The `canvas` dependency requires native compilation
2. Install build tools:
- **macOS:** `xcode-select --install`
- **Ubuntu/Debian:** `sudo apt-get install build-essential libcairo2-dev libpango1.0-dev libjpeg-dev libgif-dev librsvg2-dev`
- **Windows:** Install windows-build-tools
3. Reinstall canvas: `npm install canvas --build-from-source`
## Testing Your Setup
Create a simple test script (`test-setup.js`):
```javascript
import VSegments from 'vsegments';
import fs from 'fs';
async function test() {
console.log('Testing vsegments setup...\n');
// 1. Test API key
const apiKey = process.env.GOOGLE_API_KEY;
if (!apiKey) {
console.error('❌ GOOGLE_API_KEY not set');
process.exit(1);
}
console.log('✅ API key found');
// 2. Test initialization
try {
const vs = new VSegments({ apiKey });
console.log('✅ VSegments initialized');
} catch (error) {
console.error('❌ Initialization failed:', error.message);
process.exit(1);
}
// 3. Test image file
const imagePath = 'test-image.jpg';
if (!fs.existsSync(imagePath)) {
console.error(`❌ Test image not found: ${imagePath}`);
console.log(' Create a test-image.jpg to continue');
process.exit(1);
}
console.log('✅ Test image found');
console.log('\n✅ Setup looks good! Try running your script.');
}
test().catch(console.error);
```
## Getting Help
If you continue to experience issues:
1. **Check the examples:** Review the example scripts in the `examples/` directory
2. **Review the API documentation:** [Google Gemini API Docs](https://ai.google.dev/docs)
3. **File an issue:** [GitHub Issues](https://github.com/nxtphaseai/node_vsegments/issues)
4. **Check API status:** [Google Cloud Status Dashboard](https://status.cloud.google.com/)
## Recommended Models (as of December 2025)
- **Default (Best quality):** `gemini-3-pro-preview`
- **Alternative:** `gemini-2.5-flash`
Update your code:
```javascript
const vs = new VSegments({
apiKey: 'YOUR_API_KEY',
model: 'gemini-3-pro-preview' // Default
});
```
+33
-25
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contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
let result, response, text;
<span class="cstat-no" title="statement not covered" > try {</span>
<span class="cstat-no" title="statement not covered" > result = await model.generateContent({</span>
contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
}
});
<span class="cstat-no" title="statement not covered" > response = result.response;</span>
<span class="cstat-no" title="statement not covered" > text = response.text();</span>
} catch (error) {
<span class="cstat-no" title="statement not covered" > if (error.status === 500) {</span>
<span class="cstat-no" title="statement not covered" > throw new Error(</span>
`Google Gemini API error (500): This may be a temporary issue. Try again later or verify your API key and image. Original error: ${error.message}`
);
}
});
<span class="cstat-no" title="statement not covered" > throw error;</span>
}
const response = <span class="cstat-no" title="statement not covered" >result.response;</span>
const text = <span class="cstat-no" title="statement not covered" >response.text();</span>
// Parse response

@@ -737,12 +787,22 @@ const boxes = <span class="cstat-no" title="statement not covered" >parseBoundingBoxes(text);</span>

// Generate content
const result = <span class="cstat-no" title="statement not covered" >await model.generateContent({</span>
contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
let result, response, text;
<span class="cstat-no" title="statement not covered" > try {</span>
<span class="cstat-no" title="statement not covered" > result = await model.generateContent({</span>
contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
}
});
<span class="cstat-no" title="statement not covered" > response = result.response;</span>
<span class="cstat-no" title="statement not covered" > text = response.text();</span>
} catch (error) {
<span class="cstat-no" title="statement not covered" > if (error.status === 500) {</span>
<span class="cstat-no" title="statement not covered" > throw new Error(</span>
`Google Gemini API error (500): This may be a temporary issue. Try again later or verify your API key and image. Original error: ${error.message}`
);
}
});
<span class="cstat-no" title="statement not covered" > throw error;</span>
}
const response = <span class="cstat-no" title="statement not covered" >result.response;</span>
const text = <span class="cstat-no" title="statement not covered" >response.text();</span>
// Parse response

@@ -808,3 +868,3 @@ const boxes = <span class="cstat-no" title="statement not covered" >parseBoundingBoxes(text);</span>

<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
at 2025-12-05T12:32:55.225Z
at 2025-12-05T12:45:03.605Z
</div>

@@ -811,0 +871,0 @@ <script src="prettify.js"></script>

+15
-15
coverage/lcov-report/index.html

@@ -26,5 +26,5 @@

<div class='fl pad1y space-right2'>
<span class="strong">40.19% </span>
<span class="strong">38.7% </span>
<span class="quiet">Statements</span>
<span class='fraction'>84/209</span>
<span class='fraction'>84/217</span>
</div>

@@ -34,5 +34,5 @@

<div class='fl pad1y space-right2'>
<span class="strong">34.78% </span>
<span class="strong">32.87% </span>
<span class="quiet">Branches</span>
<span class='fraction'>24/69</span>
<span class='fraction'>24/73</span>
</div>

@@ -49,5 +49,5 @@

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<span class="quiet">Lines</span>
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</div>

@@ -86,13 +86,13 @@

<td class="file low" data-value="core.js"><a href="core.js.html">core.js</a></td>
<td data-value="41.81" class="pic low">
<div class="chart"><div class="cover-fill" style="width: 41%"></div><div class="cover-empty" style="width: 59%"></div></div>
<td data-value="36.5" class="pic low">
<div class="chart"><div class="cover-fill" style="width: 36%"></div><div class="cover-empty" style="width: 64%"></div></div>
</td>
<td data-value="41.81" class="pct low">41.81%</td>
<td data-value="55" class="abs low">23/55</td>
<td data-value="48.38" class="pct low">48.38%</td>
<td data-value="31" class="abs low">15/31</td>
<td data-value="36.5" class="pct low">36.5%</td>
<td data-value="63" class="abs low">23/63</td>
<td data-value="42.85" class="pct low">42.85%</td>
<td data-value="35" class="abs low">15/35</td>
<td data-value="42.85" class="pct low">42.85%</td>
<td data-value="7" class="abs low">3/7</td>
<td data-value="41.81" class="pct low">41.81%</td>
<td data-value="55" class="abs low">23/55</td>
<td data-value="36.5" class="pct low">36.5%</td>
<td data-value="63" class="abs low">23/63</td>
</tr>

@@ -168,3 +168,3 @@

<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
at 2025-12-05T12:32:55.225Z
at 2025-12-05T12:45:03.605Z
</div>

@@ -171,0 +171,0 @@ <script src="prettify.js"></script>

+1
-1
coverage/lcov-report/index.js.html

@@ -133,3 +133,3 @@

<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
at 2025-12-05T12:32:55.225Z
at 2025-12-05T12:45:03.605Z
</div>

@@ -136,0 +136,0 @@ <script src="prettify.js"></script>

+1
-1
coverage/lcov-report/models.js.html

@@ -370,3 +370,3 @@

<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
at 2025-12-05T12:32:55.225Z
at 2025-12-05T12:45:03.605Z
</div>

@@ -373,0 +373,0 @@ <script src="prettify.js"></script>

+1
-1
coverage/lcov-report/utils.js.html

@@ -427,3 +427,3 @@

<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
at 2025-12-05T12:32:55.225Z
at 2025-12-05T12:45:03.605Z
</div>

@@ -430,0 +430,0 @@ <script src="prettify.js"></script>

+1
-1
coverage/lcov-report/visualize.js.html

@@ -619,3 +619,3 @@

<a href="https://istanbul.js.org/" target="_blank" rel="noopener noreferrer">istanbul</a>
at 2025-12-05T12:32:55.225Z
at 2025-12-05T12:45:03.605Z
</div>

@@ -622,0 +622,0 @@ <script src="prettify.js"></script>

+1
-1
package.json
{
"name": "vsegments",
"version": "0.1.2",
"version": "0.1.3",
"description": "Visual segmentation and bounding box detection using Google Gemini AI",

@@ -5,0 +5,0 @@ "main": "src/index.js",

+31
-1
README.md

@@ -174,3 +174,3 @@ # vsegments (Node.js)

- `--api-key <key>`: Google API key (default: `GOOGLE_API_KEY` env var)
- `-m, --model <model>`: Model name (default: `gemini-flash-latest`)
- `-m, --model <model>`: Model name (default: `gemini-3-pro-preview`)
- `--temperature <temp>`: Sampling temperature 0.0-1.0 (default: 0.5)

@@ -365,2 +365,31 @@ - `--max-objects <n>`: Maximum objects to detect (default: 25)

## Troubleshooting
### Common Issues
#### 500 Internal Server Error
If you get a 500 error from the Google Gemini API:
1. **Try a different model:**
```javascript
const vs = new VSegments({
apiKey: 'YOUR_API_KEY',
model: 'gemini-3-pro-preview' // default model
});
```
2. **Check your image:** Ensure it's under 4MB and in a supported format (JPG, PNG, GIF, WEBP)
3. **Wait and retry:** The API may be experiencing temporary issues
4. **Verify API key:** Make sure your API key is valid and has proper permissions
For more detailed troubleshooting, see [TROUBLESHOOTING.md](TROUBLESHOOTING.md)
### Recommended Models
- **Default (High quality):** `gemini-3-pro-preview`
- **Alternative:** `gemini-2.5-flash`
## License

@@ -379,2 +408,3 @@

- **Documentation**: [GitHub README](https://github.com/nxtphaseai/vsegments#readme)
- **Troubleshooting**: [TROUBLESHOOTING.md](TROUBLESHOOTING.md)

@@ -381,0 +411,0 @@ ---

+37
-17
src/core.js

@@ -35,3 +35,3 @@ /**

this.model = options.model || 'gemini-flash-latest';
this.model = options.model || 'gemini-3-pro-preview';
this.temperature = options.temperature !== undefined ? options.temperature : 0.5;

@@ -135,12 +135,22 @@ this.maxObjects = options.maxObjects || 25;

// Generate content
const result = await model.generateContent({
contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
let result, response, text;
try {
result = await model.generateContent({
contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
}
});
response = result.response;
text = response.text();
} catch (error) {
if (error.status === 500) {
throw new Error(
`Google Gemini API error (500): This may be a temporary issue. Try again later or verify your API key and image. Original error: ${error.message}`
);
}
});
throw error;
}
const response = result.response;
const text = response.text();
// Parse response

@@ -181,12 +191,22 @@ const boxes = parseBoundingBoxes(text);

// Generate content
const result = await model.generateContent({
contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
let result, response, text;
try {
result = await model.generateContent({
contents: [{ role: 'user', parts: [{ text: prompt }, image] }],
generationConfig: {
temperature: this.temperature,
}
});
response = result.response;
text = response.text();
} catch (error) {
if (error.status === 500) {
throw new Error(
`Google Gemini API error (500): This may be a temporary issue. Try again later or verify your API key and image. Original error: ${error.message}`
);
}
});
throw error;
}
const response = result.response;
const text = response.text();
// Parse response

@@ -193,0 +213,0 @@ const boxes = parseBoundingBoxes(text);

coverage/lcov.info

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