multiple bugfixes (#1409)

openvinotoolkit · Oct 30, 2023 · 5f67fd5 · 5f67fd5
1 parent e6cc928
commit 5f67fd5
Show file tree

Hide file tree

Showing 6 changed files with 414 additions and 198 deletions.
diff --git a/notebooks/109-performance-tricks/109-latency-tricks.ipynb b/notebooks/109-performance-tricks/109-latency-tricks.ipynb
@@ -67,7 +67,7 @@
     }
    ],
    "source": [
-    "%pip install -q \"openvino>=2023.1.0\" seaborn \"ultralytics<=8.178.0\" onnx"
+    "%pip install -q \"openvino>=2023.1.0\" seaborn \"ultralytics<=8.0.178\" onnx"
    ]
   },
   {
@@ -872,7 +872,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.8.10"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {

diff --git a/notebooks/109-performance-tricks/109-throughput-tricks.ipynb b/notebooks/109-performance-tricks/109-throughput-tricks.ipynb
@@ -3,7 +3,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -61,7 +60,7 @@
    },
    "outputs": [],
    "source": [
-    "%pip install -q \"openvino>=2023.1.0\" seaborn ultralytics onnx"
+    "%pip install -q \"openvino>=2023.1.0\" \"ultralytics<=8.0.178\" seaborn ultralytics onnx"
    ]
   },
   {
@@ -95,7 +94,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -169,7 +167,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -227,7 +224,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -278,7 +274,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -343,7 +338,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -462,7 +456,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -522,7 +515,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -605,7 +597,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -691,7 +682,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -742,7 +732,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -797,7 +786,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -855,7 +843,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -910,7 +897,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -963,7 +949,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -1046,7 +1031,6 @@
   {
    "cell_type": "markdown",
    "metadata": {
-    "collapsed": false,
     "jupyter": {
      "outputs_hidden": false
     }
@@ -1074,7 +1058,14 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.8.10"
+  },
+  "widgets": {
+   "application/vnd.jupyter.widget-state+json": {
+    "state": {},
+    "version_major": 2,
+    "version_minor": 0
+   }
   }
  },
  "nbformat": 4,

diff --git a/...rflow-object-detection-to-openvino/120-tensorflow-instance-segmentation-to-openvino.ipynb b/...rflow-object-detection-to-openvino/120-tensorflow-instance-segmentation-to-openvino.ipynb
diff --git a/...tensorflow-object-detection-to-openvino/120-tensorflow-object-detection-to-openvino.ipynb b/...tensorflow-object-detection-to-openvino/120-tensorflow-object-detection-to-openvino.ipynb
diff --git a/notebooks/228-clip-zero-shot-image-classification/228-clip-zero-shot-convert.ipynb b/notebooks/228-clip-zero-shot-image-classification/228-clip-zero-shot-convert.ipynb
@@ -161,9 +161,7 @@
    "source": [
     "## Convert model to OpenVINO Intermediate Representation (IR) format. [$\\Uparrow$](#Table-of-content:)\n",
     "\n",
-    "![conversion_path](https://user-images.githubusercontent.com/29454499/208048580-8264e54c-151c-43ef-9e25-1302cd0dd7a2.png)\n",
-    "\n",
-    "For best results with OpenVINO, it is recommended to convert the model to OpenVINO IR format. OpenVINO supports PyTorch via Model conversion API. . \n",
+    "For best results with OpenVINO, it is recommended to convert the model to OpenVINO IR format. OpenVINO supports PyTorch via Model conversion API.\n",
     "To convert the PyTorch model to OpenVINO IR format we will use `ov.convert_model` of [model conversion API](https://docs.openvino.ai/2023.0/openvino_docs_model_processing_introduction.html). The `ov.convert_model` Python function returns an OpenVINO Model object ready to load on the device and start making predictions. We can save it on disk for the next usage with `ov.save_model`.\n"
    ]
   },
@@ -448,7 +446,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.5"
+   "version": "3.8.10"
   },
   "vscode": {
    "interpreter": {
@@ -457,38 +455,7 @@
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
-    "state": {
-     "3e4b0eb9ddb44b208cba45b5dd46a48e": {
-      "model_module": "@jupyter-widgets/base",
-      "model_module_version": "2.0.0",
-      "model_name": "LayoutModel",
-      "state": {}
-     },
-     "b149325610eb40aea03db6d262a3568a": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "2.0.0",
-      "model_name": "DropdownModel",
-      "state": {
-       "_options_labels": [
-        "CPU",
-        "GPU",
-        "AUTO"
-       ],
-       "description": "Device:",
-       "index": 2,
-       "layout": "IPY_MODEL_3e4b0eb9ddb44b208cba45b5dd46a48e",
-       "style": "IPY_MODEL_d7b1a9acaf2948118654ff0f8a1835c1"
-      }
-     },
-     "d7b1a9acaf2948118654ff0f8a1835c1": {
-      "model_module": "@jupyter-widgets/controls",
-      "model_module_version": "2.0.0",
-      "model_name": "DescriptionStyleModel",
-      "state": {
-       "description_width": ""
-      }
-     }
-    },
+    "state": {},
     "version_major": 2,
     "version_minor": 0
    }

diff --git a/notebooks/236-stable-diffusion-v2/implementation/ov_stable_diffusion_pipeline.py b/notebooks/236-stable-diffusion-v2/implementation/ov_stable_diffusion_pipeline.py
@@ -9,7 +9,7 @@
 from transformers import CLIPTokenizer
 from diffusers.pipeline_utils import DiffusionPipeline
 from diffusers.schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
-from openvino as ov
+import openvino as ov
 
 
 def scale_fit_to_window(dst_width:int, dst_height:int, image_width:int, image_height:int):