FIx figures in docs

docs/pages/conceptual.md

@@ -5,7 +5,7 @@
 
 A `dataflow` consists of a directed, acyclic graph of tasks performed for each entry.
 
-![dataflow](./dataflow.png)
+@image html dataflow.png
 
 An action falls into one of three types that reflect the nature of the task and are uniquely associated with a set of applicable methods.
 Each type forms a sub-graphs of tasks, which receive actions of the previous types as inputs:
@@ -81,11 +81,11 @@ Two common workflows exist in associating queries with selections:
 
 - Running a single query at multiple selections:
 
-![agg_book_sels](./query_1.png)
+@image html query_1.png
 
 - Running multiple queries at a selection:
 
-![sel_book_aggs](./query_2.png)
+@image html query_2.png
 
 @section conceptual-variations Systematic variations
 
@@ -104,4 +104,4 @@ The propagation proceeds in the following fashion:
 - **Lockstep.** If two actions each have a variation of the same name, they are in effect together.
 - **Transparent.** If only one action has a given variation, then the nominal is in effect for the other.
 
-![variation](./variation.png)
+@image html variation.png

docs/pages/example.md

@@ -161,7 +161,7 @@ auto mll_vars = df.get<Hist<1,float>>("mll",50,0,100).fill(mll).book(cut_2los);
 mll_vars.nominal()->Draw();
 mll_vars["lp4_up"]->Draw("same");
 ```
-![mll_varied](.//mll_varied.png)
+@image html mll_varied.png
 
 @section example-phys DAOD_PHYS
 
@@ -267,7 +267,7 @@ int main() {
 }
 @endcpp
 
-![muons_pt](.//muons_pt.png)
+@image html muons_pt.png
 
 @section example-task7 IRIS-HEP ADL benchmark
 
@@ -412,4 +412,4 @@ int main(int argc, char **argv) {
             << std::endl;
 }
 @endcpp
-![task_7](.//task_7.png)
+@image html task_7.png