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Results 1 - 10 of 12 for picsel (0.04 sec)

  1. cmd/object-api-listobjects_test.go

    				{Name: "Asia/India/Karnataka/Bangalore/Koramangala/pics"},
    				{Name: "newPrefix0"},
    				{Name: "newPrefix1"},
    				{Name: "newzen/zen/recurse/again/again/again/pics"},
    				{Name: "obj0"},
    				{Name: "obj1"},
    				{Name: "obj2"},
    			},
    		},
    		// ListObjectsResult-16.
    		// Marker is set to "Asia/India/Karnataka/Bangalore/Koramangala/pics" in the testCase, (testCase 41).
    		16: {
    			IsTruncated: false,
    Registered: Sun Sep 07 19:28:11 UTC 2025
    - Last Modified: Fri Aug 29 02:39:48 UTC 2025
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  2. android-test/src/androidTest/README.md

    1. Add an Emulator named `pixel5`, if you don't already have one
    
    ```
    $ sdkmanager --install "system-images;android-29;google_apis;x86"
    $ echo "no" | avdmanager --verbose create avd --force --name "pixel5" --device "pixel" --package "system-images;android-29;google_apis;x86" --tag "google_apis" --abi "x86"
    ```
    
    2. Run an Emulator using Android Studio or from command line.
    
    ```
    $ emulator -no-window -no-snapshot-load @pixel5
    ```
    
    Registered: Fri Sep 05 11:42:10 UTC 2025
    - Last Modified: Fri Aug 22 08:12:58 UTC 2025
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  3. cmd/data-usage_test.go

    			size: 200,
    		},
    	}
    	createUsageTestFiles(t, base, bucket, files)
    	err = os.RemoveAll(filepath.Join(base, bucket, "dir1/dira/dirasub/dcfile"))
    	if err != nil {
    		t.Fatal(err)
    	}
    	// Changed dir must be picked up in this many cycles.
    	for range dataUsageUpdateDirCycles {
    		got, err = scanDataFolder(t.Context(), nil, &xls, got, getSize, 0, weSleep)
    		got.Info.NextCycle++
    		if err != nil {
    			t.Fatal(err)
    		}
    	}
    
    Registered: Sun Sep 07 19:28:11 UTC 2025
    - Last Modified: Fri Aug 29 02:39:48 UTC 2025
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  4. docs/bucket/replication/DESIGN.md

    All replication failures are picked up by the scanner which runs at a one minute frequency, each time scanning up to a sixteenth of the namespace. Object versions marked `PENDING` or `FAILED` are re-queued for replication.
    
    Registered: Sun Sep 07 19:28:11 UTC 2025
    - Last Modified: Tue Aug 12 18:20:36 UTC 2025
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  5. docs/fr/docs/async.md

    Par exemple :
    
    * Traitements d'**audio** et d'**images**.
    * La **vision par ordinateur** : une image est composée de millions de pixels, chaque pixel ayant 3 valeurs / couleurs, les traiter tous va nécessiter d'effectuer des traitements sur chaque pixel, et de préférence tous en même temps.
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  6. docs/sts/ldap.md

    When using this feature, do not specify a port in the `server_addr` as the port is picked up automatically from the SRV record.
    
    With the default (empty) value for `srv_record_name`, MinIO **will not** perform any SRV record request.
    
    Registered: Sun Sep 07 19:28:11 UTC 2025
    - Last Modified: Tue Aug 12 18:20:36 UTC 2025
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  7. docs/pt/docs/async.md

    Por exemplo:
    
    * **Processamento de áudio** ou **imagem**
    * **Visão Computacional**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores / cores, processar isso normalmente exige alguma computação em todos esses pixels ao mesmo tempo
    
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  8. docs/en/docs/async.md

    Common examples of CPU bound operations are things that require complex math processing.
    
    For example:
    
    * **Audio** or **image processing**.
    * **Computer vision**: an image is composed of millions of pixels, each pixel has 3 values / colors, processing that normally requires computing something on those pixels, all at the same time.
    Registered: Sun Sep 07 07:19:17 UTC 2025
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  9. docs/es/docs/async.md

    Por ejemplo:
    
    * **Procesamiento de audio** o **imágenes**.
    * **Visión por computadora**: una imagen está compuesta de millones de píxeles, cada píxel tiene 3 valores / colores, procesar eso normalmente requiere calcular algo en esos píxeles, todos al mismo tiempo.
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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  10. docs/de/docs/async.md

    Zum Beispiel:
    
    * **Audio-** oder **Bildbearbeitung**.
    * **Computer Vision**: Ein Bild besteht aus Millionen von Pixeln, jedes Pixel hat 3 Werte / Farben, die Verarbeitung erfordert normalerweise, Berechnungen mit diesen Pixeln durchzuführen, alles zur gleichen Zeit.
    Registered: Sun Sep 07 07:19:17 UTC 2025
    - Last Modified: Sun Aug 31 09:56:21 UTC 2025
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