Overwrote everything with working directory

eirikmn · Jul 14, 2023 · ebc106d · ebc106d
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diff --git a/TODO.txt b/TODO.txt
@@ -0,0 +1,28 @@
+se på 
+
+gradCAM
+gradCAM++
+EigenCAM
+AbsolutionCAM??
+
+
+LIME
+SHAP (https://www.steadforce.com/how-tos/explainable-object-detection)
+
+
+Other:
+https://jair-neto.medium.com/a-powerful-method-for-explainability-of-object-detection-algorithms-ace0fe4623e7
+
+
+
+Implementere gradcam i YOLOv8 (https://github.com/ultralytics/yolov5/issues/5863):
+  - legg til cam_show_img funksjon i detect script
+  - sette requires_grad=True på model.named_parameters() i detect
+  - 
+
+
+https://github.com/PaddlePaddle/InterpretDL/blob/master/tutorials/GradCam_Object_Detection.ipynb
+  - finn hoved class definisjonen
+
+- last inn modell
+- eksperimenter med detect-modellen
diff --git a/Task2_Grad-CAM++.ipynb b/Task2_Grad-CAM++.ipynb
diff --git a/data/README.dataset.txt b/data/README.dataset.txt
@@ -0,0 +1,6 @@
+# 4-class forams HD-RAW > 2023-06-05 1:36pm
+https://universe.roboflow.com/test-wzks5/4-class-forams-hd-raw
+
+Provided by a Roboflow user
+License: CC BY 4.0
+
diff --git a/data/README.roboflow.txt b/data/README.roboflow.txt
@@ -0,0 +1,33 @@
+
+4-class forams HD-RAW - v2 2023-06-05 1:36pm
+==============================
+
+This dataset was exported via roboflow.com on June 5, 2023 at 11:37 AM GMT
+
+Roboflow is an end-to-end computer vision platform that helps you
+* collaborate with your team on computer vision projects
+* collect & organize images
+* understand and search unstructured image data
+* annotate, and create datasets
+* export, train, and deploy computer vision models
+* use active learning to improve your dataset over time
+
+For state of the art Computer Vision training notebooks you can use with this dataset,
+visit https://github.com/roboflow/notebooks
+
+To find over 100k other datasets and pre-trained models, visit https://universe.roboflow.com
+
+The dataset includes 182 images.
+Foraminifera are annotated in YOLOv8 format.
+
+The following pre-processing was applied to each image:
+* Auto-orientation of pixel data (with EXIF-orientation stripping)
+* Resize to 1280x1280 (Fit (black edges))
+
+The following augmentation was applied to create 3 versions of each source image:
+* 50% probability of horizontal flip
+* 50% probability of vertical flip
+* Equal probability of one of the following 90-degree rotations: none, clockwise, counter-clockwise, upside-down
+* Random brigthness adjustment of between -15 and +15 percent
+
+
diff --git a/data/data.yaml b/data/data.yaml
@@ -0,0 +1,13 @@
+train: ../train/images
+val: ../valid/images
+test: ../test/images
+
+nc: 4
+names: ['Sediment', 'agglutinated', 'calcareous', 'planktic']
+
+roboflow:
+  workspace: test-wzks5
+  project: 4-class-forams-hd-raw
+  version: 2
+  license: CC BY 4.0
+  url: https://universe.roboflow.com/test-wzks5/4-class-forams-hd-raw/dataset/2
diff --git a/data/test/images/A-4-5-1_JPG_jpg.rf.44c46e25190476068b1ec6adcc2b361e.jpg b/data/test/images/A-4-5-1_JPG_jpg.rf.44c46e25190476068b1ec6adcc2b361e.jpg
diff --git a/data/test/images/A-5-5-2_JPG_jpg.rf.57e3293e5f18338aae59ef89593fe5ab.jpg b/data/test/images/A-5-5-2_JPG_jpg.rf.57e3293e5f18338aae59ef89593fe5ab.jpg
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diff --git a/data/test/labels.cache b/data/test/labels.cache
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